20.4.5.2 Video Database Indexing Techniques

Smoliar, S.W., Zhang, H.J.,
Content-Based Video Indexing Retrieval,
MultMed(1), No. 1, Summer 1994, pp. 62-74. Early description of video retrieval. BibRef 9400

Chang, S.F.,
Exploring Functionalities in the Compressed Image Video Domain,
Surveys(27), No. 4, December 1995, pp. 573-575. Survey, Image Retrieval. BibRef 9512

Zhang, H.J., Tian, Q.,
Digital Video Analysis and Recognition for Content-Based Access,
Surveys(27), No. 4, December 1995, pp. 643-644. Survey, Image Retrieval. BibRef 9512

Takahashi, J.[Junichi], Hashihara, H.[Hideharu],
System of updating an index file of frame sequences so that it indexes non-overlapping motion image frame sequences,
US_Patent5,428,774, Jun 27, 1995
WWW Link. BibRef 9506

Shearer, K., Venkatesh, S., Kieronska, D.,
Spatial Indexing for Video Databases,
JVCIR(7), No. 4, December 1996, pp. 325-335. 9704
BibRef

Shearer, K., Kieronska, D., Venkatesh, S.,
Resequencing of Video Using Spatial Indexing,
JVLC(8), No. 2, April 1997, pp. 193-214. 9705
BibRef

Arman, F.[Farshid], Depommier, R.[Remi], Hsu, A.[Arding], Chiu, M.Y.[Ming-Yee],
Browsing contents of a given video sequence,
US_Patent5,521,841, May 28, 1996.
HTML Version. BibRef 9605

Arman, F., Shu, H., and Chiu, M.Y.,
Feature Management for Large Video Databases,
SPIE(1908), February 1993, pp. 2-12. BibRef 9302

Burke, R.,
Conceptual Indexing and Active Retrieval of Video for Interactive Learning Environments,
KBS(9), No. 8, December 1996, pp. 491-499. 9708
BibRef

Chang, C.W., Lee, S.Y.,
Video Content Representation, Indexing, and Matching in Video Information Systems,
JVCIR(8), No. 2, June 1997, pp. 107-120. 9710

See also Video Information-System for Sport Motion Analysis, A. BibRef

Correia, P.L.[Paulo Lobato], Pereira, F.[Fernando],
The Role of Analysis in Content Based Video Coding and Indexing,
SP(66), No. 2, April 1998, pp. 125-142. 9807
BibRef
And:
Proposal for an integrated video analysis framework,
ICIP98(II: 488-492).
IEEE DOI 9810
BibRef

Corridoni, J.M., del Bimbo, A.,
Structured representation and automatic indexing of movie information content,
PR(31), No. 12, December 1998, pp. 2027-2045.
Elsevier DOI BibRef 9812
Earlier:
Structured Digital Video Indexing,
ICPR96(III: 125-129).
IEEE DOI 9608
BibRef
Earlier:
Film editing reconstruction and semantic analysis,
CAIP95(938-943).
Springer DOI 9509
BibRef
And:
Automatic video segmentation through editing analysis,
CIAP95(178-184).
Springer DOI 9509
(Univ. di Firenze, I) BibRef

Kobla, V.[Vikrant], Doermann, D.[David],
Indexing and Retrieval of the MPEG Compressed Video,
JEI(7), No. 2, April 1998, pp. 294-307. 9807
BibRef

Kobla, V.[Vikrant], Doermann, D.[David], Lin, K.I.[King-Ip], Faloutsos, C.[Christos],
Feature Normalization for Video Indexing and Retrieval,
UMDTR3732, November 1996.
WWW Link. Indexing applied to MPEG encoded video. BibRef 9611

Roth, V.[Volker],
Content-based retrieval from digital video,
IVC(17), No. 7, May 1999, pp. 531-540.
Elsevier DOI BibRef 9905

Sclaroff, S.[Stan], La Cascia, M.[Marco], Sethi, S.[Saratendu], Taycher, L.[Leonid],
Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web,
CVIU(75), No. 1/2, July-August 1999, pp. 86-98.
DOI Link BibRef 9907

La Cascia, M., Sethi, S., Sclaroff, S.,
Combining textual and visual cues for content-based image retrieval on the World Wide Web,
CBAIVL98(24-28).
IEEE Top Reference. 0208
BibRef

Sclaroff, S.[Stan], Taycher, L.[Leonid], La Cascia, M.[Marco],
ImageRover: A Content-Based Image Browser for the World Wide Web,
CBAIVL97(2).
IEEE DOI 9706
BibRef

Adjeroh, D.A.[Donald A.], Lee, M.C., King, I.[Irwin],
A Distance Measure for Video Sequences,
CVIU(75), No. 1/2, July-August 1999, pp. 25-45.
DOI Link BibRef 9907

Kanth, K.V.R.[K. V. Ravi], Agrawal, D.[Divyakant], El Abbadi, A.[Amr], Singh, A.[Ambuj],
Dimensionality Reduction for Similarity Searching in Dynamic Databases,
CVIU(75), No. 1/2, July-August 1999, pp. 59-72.
DOI Link BibRef 9907

Lee, J., Dickinson, B.W.,
Hierarchical Video Indexing and Retrieval for Subband-Coded Video,
CirSysVideo(10), No. 5, August 2000, pp. 824.
IEEE Top Reference. 0008

See also Subband Video Coding with Scene-Adaptive Hierarchical Motion Estimation. BibRef

Chang, H.S.[Hyun Sung], Sull, S.H.[Sang-Hoon], Lee, S.U.[Sang Uk],
Efficient video indexing scheme for content-based retrieval,
CirSysVideo(9), No. 8, December 1999, pp. 1269-1279.
IEEE Abstract. 0410
BibRef

Kim, J.R.[Jung-Rim], Chang, H.S.[Hyun Sung], Lee, S.U.[Sang Uk], Sull, S.H.[Sang-Hoon],
Efficient Subtree Pruning Scheme in Tree-Structured Hierarchy,
CirSysVideo(17), No. 5, May 2007, pp. 635-638.
IEEE DOI 0705
For traversing the tree in retrieval, distance based on node distance to subcluster. BibRef

Lei, Z.B.[Zhi-Bin], Lin, Y.T.[Yun-Ting],
3D Shape Inferencing and Modeling for Video Retrieval,
JVCIR(11), No. 1, March 2000, pp. 41-57. 0008
BibRef

Miyatake, T.[Takafumi], Sumino, S.[Shigeo], Taniguchi, K.[Katsumi], Nagasaka, A.[Akio], Ikezawa, M.[Mitsuru], Ueda, H.[Hirotada],
Video retrieval method and apparatus,
US_Patent6,021,231, Feb 1, 2000
WWW Link. BibRef 0002
And: US_Patent6,192,151, Feb 20, 2001
WWW Link. BibRef
And: US_Patent6,424,744, Jul 23, 2002
WWW Link. BibRef
And: US_Patent6,567,550, May 20, 2003
WWW Link. BibRef
And: US_Patent6,766,057, Jul 20, 2004
WWW Link. BibRef
And: US_Patent7,203,366, Apr 10, 2007
WWW Link. BibRef

Yu, H.H.,
Scalable video browsing and searching via Q-metric,
PRL(22), No. 5, April 2001, pp. 493-502.
Elsevier DOI 0105
BibRef

Yu, H.H.[Hong Heather],
Video indexing and image retrieval system,
US_Patent7,042,525, May 9, 2006
WWW Link. Compute features on image sequence BibRef 0605

Shearer, K.[Kim], Bunke, H.[Horst], Venkatesh, S.[Svetha],
Video indexing and similarity retrieval by largest common subgraph detection using decision trees,
PR(34), No. 5, May 2001, pp. 1075-1091.
Elsevier DOI 0102
BibRef
Earlier:
An Efficient Least Common Subgraph Algorithm for Video Indexing,
ICPR98(Vol II: 1241-1243).
IEEE DOI 9808

See also decision tree approach to graph and subgraph isomorphism detection, A. BibRef

Shearer, K.[Kim], Venkatesh, S.[Svetha], Bunke, H.[Horst],
Video sequence matching via decision tree path following,
PRL(22), No. 5, April 2001, pp. 479-492.
Elsevier DOI 0105
BibRef

Irniger, C., Bunke, H.,
Graph database filtering using decision trees,
ICPR04(III: 383-388).
IEEE DOI 0409
BibRef

Shan, M.K.[Man-Kwan], Lee, S.Y.[Suh-Yin],
A framework for temporal similarity measures of content-based scene retrieval,
PRL(22), No. 5, April 2001, pp. 517-532.
Elsevier DOI 0105
BibRef

Chan, Y.K.[Yung-Kuan], Chang, C.C.[Chin-Chen],
Spatial Similarity Retrieval in Video Databases,
JVCIR(12), No. 2, June 2001, pp. 107-122.
DOI Link 0201
BibRef

Altunbasak, Y.[Yucel], Zhang, H.J.[Hong-Jiang],
Object-based parsing and indexing of compressed video streams,
US_Patent6,389,168, May 14, 2002
WWW Link. BibRef 0205
And:
System and method for automatically detecting shot boundary and key frame from a compressed video data,
US_Patent6,393,054, May 21, 2002
WWW Link. BibRef

Zhang, H.J., Wang, J.Y.A., and Altunbasak, Y.,
Content-Based Video Retrieval and Compression: A Unified Solution,
ICIP97(I: 13-16).
IEEE DOI BibRef 9700

Erdelyi, D.[David],
Method and system for indexing, sorting, and displaying a video database,
US_Patent6,631,522, Oct 7, 2003
WWW Link. BibRef 0310

Tseng, B.L.[Belle L.], Lin, C.Y.[Ching-Yung], Smith, J.R.[John R.],
Video personalization and summarization system for usage environment,
JVCIR(15), No. 3, September 2004, pp. 370-392.
Elsevier DOI 0711
Video personalization; Summarization; Adaptation; Usage environment; MPEG-7; MPEG-21; Annotation; Rich media description; Digital item adaptation; Rights expression BibRef

Smith, J.R., Jaimes, A., Lin, C.Y.[Ching-Yung], Naphade, M.R., Natsev, A.P., Tseng, B.L.,
Interactive search fusion methods for video database retrieval,
ICIP03(I: 741-744).
IEEE DOI 0312
BibRef

Smith, J.R., Lin, C.Y.[Ching-Yung], Naphade, M.R., Natsev, A.P.[A. Paul], Tseng, B.L.,
Statistical Techniques for Video Analysis and Searching,
VideoMining03(Chapter 9). BibRef 0300

Natsev, A.P., Naphade, M.R., Smith, J.R.,
Over-complete representation and fusion for semantic concept detection,
ICIP04(IV: 2375-2378).
IEEE DOI 0505
BibRef
Earlier:
Exploring semantic dependencies for scalable concept detection,
ICIP03(III: 625-628).
IEEE DOI 0312
BibRef

Tseng, B.L., Lin, C.D.[Ching-Ding], Naphade, M.R., Natsev, A.P., Smith, J.R.,
Normalized classifier fusion for semantic visual concept detection,
ICIP03(II: 535-538).
IEEE DOI 0312
BibRef

Yan, R.[Rong], Natsev, A.P.[Apostol Paul], Campbell, M.[Murray],
Hybrid Tagging and Browsing Approaches for Efficient Manual Image Annotation,
MultMedMag(16), No. 2, April-June 2009, pp. 26-41.
IEEE DOI 0909
BibRef
Earlier:
A learning-based hybrid tagging and browsing approach for efficient manual image annotation,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And:
Multi-query interactive image and video retrieval: Theory and practice,
CIVR08(475-484). 0807
BibRef

Smith, J.R., Lin, C.Y.[Ching-Yung], Naphade, M.R.,
Video texture indexing using spatio-temporal wavelets,
ICIP02(II: 437-440).
IEEE DOI 0210
BibRef

Natsev, A.P.[Apostol Paul],
Multimodal Search for Effective Video Retrieval,
CIVR06(525-528).
Springer DOI 0607
BibRef

Kim, S.H.[Sang Hyun], Park, R.H.[Rae-Hong],
An efficient algorithm for video sequence matching using the modified Hausdorff distance and the directed divergence,
CirSysVideo(12), No. 7, July 2002, pp. 592-596.
IEEE Top Reference. 0208
Use extracted key frames and compare them for indexing. BibRef

Lee, A.J.T.[Anthony J.T.], Chiu, H.P.[Han-Pang], Yu, P.[Ping],
3D C-string: a new spatio-temporal knowledge representation for video database systems,
PR(35), No. 11, November 2002, pp. 2521-2537.
Elsevier DOI 0208
BibRef

Lee, A.J.T.[Anthony J.T.], Chiu, H.P.[Han-Pang], Yu, P.[Ping],
Similarity retrieval of videos by using 3D C-string knowledge representation,
JVCIR(16), No. 6, December 2005, pp. 749-773.
Elsevier DOI 0711
Video databases; Spatio-temporal inference; Similarity retrieval; 3D C-string BibRef

Lennon, A.J.[Alison Joan], Le, D.A.D.[Delphine Anh Dao],
Automated video interpretation system,
US_Patent6,516,090, Feb 4, 2003
WWW Link. BibRef 0302

Chun, Y.D.[Young Deok], Seo, S.Y.[Sang Yong], Kim, N.C.[Nam Chul],
Image retrieval using BDIP and BVLC moments,
CirSysVideo(13), No. 9, September 2003, pp. 951-957.
IEEE Abstract. 0310
BibRef

Fan, J., Luo, H., Elmagarmid, A.K.,
Concept-Oriented Indexing of Video Databases: Toward Semantic Sensitive Retrieval and Browsing,
IP(13), No. 7, July 2004, pp. 974-992.
IEEE DOI 0406
BibRef

Doulamis, A.D.[Anastasios D.], Doulamis, N.D.[Nikolaos D.],
Optimal Content-Based Video Decomposition for Interactive Video Navigation,
CirSysVideo(14), No. 6, June 2004, pp. 757-775.
IEEE Abstract. 0407
BibRef
Earlier:
Optimal multi-content video decomposition for efficient video transmission over low-bandwidth networks,
ICIP02(II: 201-204).
IEEE DOI 0210
BibRef

Doulamis, N.D.[Nikolaos D.], Doulamis, A.D.[Anastasios D.],
Semi-supervised deep learning for object tracking and classification,
ICIP14(848-852)
IEEE DOI 1502
Abstracts BibRef

Doulamis, N.D., Doulamis, A.D.,
Video object segmentation and tracking in stereo sequences using adaptable neural networks,
ICIP03(I: 149-152).
IEEE DOI 0312
BibRef

Doulamis, N.D.[Nikolaos D.], Doulamis, A.D.[Anastasios D.], Kollias, S.D.[Stefanos D.],
Improving the Performance of MPEG Compatible Encoding at Low Bit Rates Using Adaptive Neural Networks,
RealTimeImg(6), No. 5, October 2000, pp. 327-345. 0011
BibRef
Earlier:
A Neural Network Approach to Interactive Content-Based Retrieval of Video Databases,
ICIP99(II:116-120).
IEEE DOI BibRef
Earlier: A2, A1, A3:
A neural network based scheme for unsupervised video object segmentation,
ICIP98(II: 632-636).
IEEE DOI 9810
BibRef
Earlier: A3, A1, A2:
Improving the Performance of MPEG Compatible Encoders Using on Line Retrainable Neural Networks,
ICIP97(III: 424-427).
IEEE DOI BibRef

Doulamis, A.D.[Anastasios D.], Doulamis, N.D.[Nikolaos D.], Kollias, S.D.[Stefanos D.],
Statistical Multiplexing and Quality of Service Control of VBR MPEG Video Sources,
ICIP99(I:271-275).
IEEE DOI BibRef 9900

Doulamis, N.D., Doulamis, A.D., Konstantoulakis, G.E., Stassinopoulos, G.I.,
Efficient Modeling of VBR MPEG-1 Coded Video Sources,
CirSysVideo(10), No. 1, February 2000, pp. 93.
IEEE Top Reference. 0003

See also Low Bit-Rate Coding of Image Sequences Using Adaptive Regions of Interest. BibRef

Schaffalitzky, F.[Frederik], Zisserman, A.[Andrew],
Automated location matching in movies,
CVIU(92), No. 2-3, November-December 2003, pp. 236-264.
Elsevier DOI 0311
BibRef
Earlier:
Automated Scene Matching in Movies,
CIVR02(186-197).
Springer DOI 0208
Match shots that are images of the same 3-D location. Use temporal continuity to improve matching. BibRef

Schaffalitzky, F.[Frederik], Zisserman, A.[Andrew],
Viewpoint Invariant Texture Matching and Wide Baseline Stereo,
ICCV01(II: 636-643).
IEEE DOI 0106
Texture descriptor invariant to affine and illumination changes. To use for matching with large changes. Statistics over a region. BibRef

Bicego, M.[Manuele], Murino, V.[Vittorio], Figueiredo, M.A.T.[Mário A.T.],
Similarity-Based Classification of Sequences Using Hidden Markov Models,
PR(37), No. 12, December 2004, pp. 2281-2291.
Elsevier DOI 0409

See also Trajectory Classification Using Switched Dynamical Hidden Markov Models.
See also Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings. BibRef

Bicego, M.[Manuele], Murino, V.[Vittorio], Pelillo, M.[Marcello], Torsello, A.[Andrea],
Similarity-based pattern recognition,
PR(39), No. 10, October 2006, pp. 1813-1814.
Elsevier DOI 0606
BibRef

Bicego, M.[Manuele], Peckalska, E.[Elzbieta], Tax, D.M.J.[David M.J.], Duin, R.P.W.[Robert P.W.],
Component-Based Discriminative Classification for Hidden Markov Models,
PR(42), No. 11, November 2009, pp. 2637-2648.
Elsevier DOI 0907
Hidden Markov models; Discriminative classification; Dimensionality reduction; Hybrid models; Generative embeddings BibRef

Carli, A.[Anna], Bicego, M.[Manuele], Baldo, S.[Sisto], Murino, V.[Vittorio],
Nonlinear Mappings for Generative Kernels on Latent Variable Models,
ICPR10(2134-2137).
IEEE DOI 1008
BibRef
Earlier:
Non-linear generative embeddings for kernels on latent variable models,
Subspace09(154-161).
IEEE DOI 0910
BibRef

Bicego, M.[Manuele], Cristani, M.[Marco], Murino, V.[Vittorio], Pekalska, E.[Elzbieta], Duin, R.P.W.[Robert P.W.],
Clustering-Based Construction of Hidden Markov Models for Generative Kernels,
EMMCVPR09(466-479).
Springer DOI 0908
BibRef

Sohn, B.S.[Bong-Soo], Bajaj, C.[Chandrajit], Siddavanahalli, V.[Vinay],
Volumetric video compression for interactive playback,
CVIU(96), No. 3, December 2004, pp. 435-452.
Elsevier DOI 0411
Compression for surfaces to support browsing. BibRef

Rasheed, Z., Sheikh, Y., Shah, M.,
On the Use of Computable Features for Film Classification,
CirSysVideo(15), No. 1, January 2005, pp. 52-64.
IEEE Abstract.
PDF File. 0501
BibRef
And:
Semantic film preview classification using low-level computable features,
MDDE03(xx-yy). Classify into genres. BibRef

Zhai, Y.[Yun], Rasheed, Z.[Zeeshan], Shah, M.[Mubarak],
Semantic classification of movie scenes using finite state machines,
VISP(152), No. 6, December 2005, pp. 896-901.
DOI Link 0512
BibRef
Earlier:
A Framework for Semantic Classification of Scenes Using Finite State Machines,
CIVR04(279-288).
Springer DOI 0505
BibRef
And:
Conversation detection in feature films using finite state machines,
ICPR04(IV: 458-461).
IEEE DOI 0409
BibRef

Rasheed, Z.[Zeeshan], and Shah, M.[Mubarak],
Detection and Representation of Scenes in Videos,
MultMed(7), No. 6, December 2005, pp. xx-yy.
PDF File. BibRef 0512
Earlier:
Scene detection in Hollywood movies and TV shows,
CVPR03(II: 343-348).
IEEE DOI 0307
BibRef
And:
Video Categorization Using Semantics and Semiotics,
VideoMining03(Chapter 7). BibRef
And:
Movie genre classification by exploiting audio-visual features of previews,
ICPR02(II: 1086-1089).
IEEE DOI 0211
BibRef

Javed, O.[Omar], Rasheed, Z.[Zeeshan], Shah, M.[Mubarak],
A Framework for Segmentation of Talk and Game Shows,
ICCV01(II: 532-537).
IEEE DOI 0106
BibRef

Zhai, Y.[Yun], Shah, M.[Mubarak],
A Multi-level Framework for Video Shot Structuring,
ICIAR05(167-173).
Springer DOI 0509
BibRef
And:
A General Framework for Temporal Video Scene Segmentation,
ICCV05(II: 1111-1116).
IEEE DOI 0510
Group shots into scenes. BibRef

Solmaz, B.[Berkan], Assari, S.M.[Shayan Modiri], Shah, M.[Mubarak],
Classifying web videos using a global video descriptor,
MVA(24), No. 7, October 2013, pp. 1473-1485.
WWW Link. 1309
BibRef

Assari, S.M.[Shayan Modiri], Zamir, A.R.[Amir Roshan], Shah, M.[Mubarak],
Video Classification Using Semantic Concept Co-occurrences,
CVPR14(2529-2536)
IEEE DOI 1409
Classification; Co-occurrence; GMCP; clique; semantic concept BibRef

Dehghan, A.[Afshin], Idrees, H.[Haroon], Shah, M.[Mubarak],
Improving Semantic Concept Detection through the Dictionary of Visually-Distinct Elements,
CVPR14(2585-2592)
IEEE DOI 1409
Attribute BibRef

Kofler-Vogt, A.[Andrea], Kosch, H.[Harald], Heuer, J.[Joerg], Kaup, A.[André],
BeTrIS: An Index System for MPEG-7 Streams,
JASP(2006), No. Article ID 15482, 2006, pp. 1-11.
WWW Link. 0603
BibRef

Snoek, C.G.M.[Cees G.M.], Worring, M.[Marcel], Geusebroek, J.M., Koelma, D.C.[Dennis C.], Seinstra, F.J., Smeulders, A.W.M.[Arnold W.M.],
The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing,
PAMI(28), No. 10, October 2006, pp. 1678-1689.
IEEE DOI 0609
Extract semantic paths through video. Content analysis. Style analysis. Context analysis. BibRef

Snoek, C.G.M., Huurnink, B., Hollink, L., de Rijke, M., Schreiber, G., Worring, M.,
Adding Semantics to Detectors for Video Retrieval,
MultMed(9), No. 5, August 2007, pp. 975-986.
IEEE DOI 0905
BibRef

Snoek, C.G.M.[Cees G. M.], Worring, M.[Marcel], Koelma, D.C.[Dennis C.], Smeulders, A.W.M.[Arnold W. M.],
A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval,
MultMed(9), No. 2, February 2007, pp. 280-292.
IEEE DOI 0905
BibRef
Earlier:
Learned Lexicon-Driven Interactive Video Retrieval,
CIVR06(11-20).
Springer DOI 0607
BibRef

Zahálka, J., Rudinac, S., Jónsson, B.Þ., Koelma, D.C., Worring, M.,
Blackthorn: Large-Scale Interactive Multimodal Learning,
MultMed(20), No. 3, March 2018, pp. 687-698.
IEEE DOI 1802
Data compression, Data models, Multimedia communication, Quantization (signal), Semantics, Visualization, Data compression, multimedia analysis BibRef

Worring, M.[Marcel], Snoek, C.G.M.[Cees G.M.],
Semantic indexing and retrieval of video,
ICPR08(1-1).
IEEE DOI 0812
BibRef

Wu, J.[Jun], Worring, M.[Marcel],
Efficient Genre-Specific Semantic Video Indexing,
MultMed(14), No. 2, 2012, pp. 291-302.
IEEE DOI 1204
BibRef
Earlier:
Genre-specific semantic video indexing,
CIVR10(266-273).
DOI Link 1007
BibRef

Snoek, C.G.M.[Cees G.M.], Smeulders, A.W.M.[Arnold W.M.],
Visual-Concept Search Solved?,
Computer(43), No. 6, June 2010, pp. 76-78.
IEEE DOI 1007
Is it good enough that it can be considered solved? BibRef

van Gemert, J.C.[Jan C.], Snoek, C.G.M.[Cees G.M.], Veenman, C.J.[Cor J.], Smeulders, A.W.M.[Arnold W.M.], Geusebroek, J.M.[Jan-Mark],
Comparing compact codebooks for visual categorization,
CVIU(114), No. 4, April 2010, pp. 450-462.
Elsevier DOI 1003
Concept categorization; Video retrieval evaluation; Efficient retrieval; Content analysis and indexing; Benchmarking BibRef

van Gemert, J.C.[Jan C.], Veenman, C.J.[Cor J.], Smeulders, A.W.M.[Arnold W.M.], Geusebroek, J.M.[Jan-Mark],
Visual Word Ambiguity,
PAMI(32), No. 7, July 2010, pp. 1271-1283.
IEEE DOI 1006
BibRef
Earlier: A1, A4, A2, A3:
Kernel Codebooks for Scene Categorization,
ECCV08(III: 696-709).
Springer DOI 0810
Image is a bag of discrete visual words. Discrete visual words assigned to continuous features is a problem. BibRef

van Gemert, J.C.[Jan C.], Geusebroek, J.M.[Jan-Mark], Veenman, C.J.[Cor J.], Snoek, C.G.M.[Cees G.M.], Smeulders, A.W.M.[Arnold W.M.],
Robust Scene Categorization by Learning Image Statistics in Context,
SLAM06(105).
IEEE DOI 0609
BibRef

Geusebroek, J.M., Hoang, M.A.[Minh Anh], van Gemert, J.C., Worring, M.,
Genre-based search through biomedical images,
ICPR02(I: 271-274).
IEEE DOI 0211
BibRef

van Gemert, J.C.[Jan C.],
Exploiting photographic style for category-level image classification by generalizing the spatial pyramid,
ICMR11(14).
DOI Link 1301
assumption that images within a category share a similar style BibRef

Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet S.], Hanna, K.J.[Keith J.],
Method and apparatus for enhancing and indexing video and audio signals,
US_Patent7,020,351, Mar 28, 2006
WWW Link. BibRef 0603

Ayache, S.[Stephane], Quenot, G.[Georges],
Evaluation of active learning strategies for video indexing,
SP:IC(22), No. 7-8, August-September 2007, pp. 692-704.
Elsevier DOI 0710
Active learning; Video indexing; Evaluation; Strategies BibRef

Bucak, S.S.[Serhat Selcuk], Gunsel, B.[Bilge],
Incremental subspace learning via non-negative matrix factorization,
PR(42), No. 5, May 2009, pp. 788-797.
Elsevier DOI 0902
BibRef
Earlier:
Incremental clustering via nonnegative matrix factorization,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier:
Video Content Representation by Incremental Non-Negative Matrix Factorization,
ICIP07(II: 113-116).
IEEE DOI 0709
Incremental subspace learning; Non-negative matrix factorization; Statistical background modeling; Video content representation; Clustering BibRef

Shao, J.[Jie], Huang, Z.[Zi], Shen, H.T.[Heng Tao], Zhou, X.F.[Xiao-Fang], Lim, E.P.[Ee-Peng], Li, Y.J.[Yi-Jun],
Batch Nearest Neighbor Search for Video Retrieval,
MultMed(10), No. 3, April 2008, pp. 409-420.
IEEE DOI 0905
BibRef

Yu, L.T.[Li-Tao], Huang, Z.[Zi], Cao, J.W.[Jie-Wei], Shen, H.T.[Heng Tao],
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MultMed(18), No. 8, August 2016, pp. 1590-1603.
IEEE DOI 1608
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MultMed(13), No. 1, 2011, pp. 71-81.
IEEE DOI 1102
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PR(43), No. 2, February 2010, pp. 470-477.
Elsevier DOI 0910
Semi-automatic image annotation; Multi-label learning; Normalized mutual information; User feedback BibRef

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Correlative multi-label multi-instance image annotation,
ICCV11(651-658).
IEEE DOI 1201
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Lu, H.[Hong], Zheng, Y.B.[Ying-Bin], Xue, X.Y.[Xiang-Yang], Zhang, Y.J.[Yue-Jie],
Content and context-based multi-label image annotation,
VCL-ViSU09(61-68).
IEEE DOI 0906
BibRef

Sun, Z.C.[Zi-Chen], Song, Y.Z.[Yuan-Zheng], Zheng, Y.B.[Ying-Bin], Yu, H.[Hui], Jin, C.[Cheng], Lu, H.[Hong], Xue, X.Y.[Xiang-Yang],
Fudan University: hierarchical video retrieval with adaptive multi-modal fusion,
CIVR08(549-550). 0807
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Jung, M.Y.[Min Young], Park, S.H.[Sung Han],
Video Retrieval System for Bridging the Semantic Gap,
IEICE(E92-D), No. 12, December 2009, pp. 2516-2519.
WWW Link. 0912
Video ontology to bridge gap between user queries and raw video content. BibRef

Christodoulakis, S.[Stavros], Foukarakis, M.[Michalis], Ragia, L.[Lemonia], Uchiyama, H.[Hiroaki], Imai, T.[Takuya],
Picture Context Capturing for Mobile Databases,
MultMedMag(17), No. 2, April-June 2010, pp. 34-41.
IEEE DOI 1006
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Ntousias, A.[Alexandros], Gioldasis, N.[Nektarios], Tsinaraki, C.[Chrisa], Christodoulakis, S.[Stavros],
Rich metadata and context capturing through CIDOC/CRM and MPEG-7 interoperability,
CIVR08(151-160). 0807
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Tsinaraki, C.[Chrisa], Polydoros, P.[Panagiotis], Christodoulakis, S.[Stavros],
Interoperability Support for Ontology-Based Video Retrieval Applications,
CIVR04(582-591).
Springer DOI 0505
BibRef

Wu, X.[Xiao], Ngo, C.W.[Chong-Wah], Zhao, W.L.[Wan-Lei],
Data-Driven Approaches to Community-Contributed Video Applications,
MultMedMag(17), No. 4, October-December 2010, pp. 58-69.
IEEE DOI 1011
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Yeh, M.C.[Mei-Chen], Cheng, K.T.[Kwang-Ting],
Fast Visual Retrieval Using Accelerated Sequence Matching,
MultMed(13), No. 2, 2011, pp. 320-329.
IEEE DOI 1103
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Dittrich, J.[Jens], Blunschi, L.[Lukas], Vaz Salles, M.A.[Marcos Antonio],
MOVIES: indexing moving objects by shooting index images,
GeoInfo(15), No. 4, October 2011, pp. 727-767.
WWW Link. 1110
Spatial indexing of moving objects, high volume of data. Road images. BibRef

Zhong, C.[Cencen], Miao, Z.J.[Zhen-Jiang],
A Two-View Concept Correlation Based Video Annotation Refinement,
SPLetters(19), No. 5, May 2012, pp. 259-262.
IEEE DOI 1204
BibRef

Inoue, N.[Nakamasa], Shinoda, K.[Koichi],
A Fast and Accurate Video Semantic-Indexing System Using Fast MAP Adaptation and GMM Supervectors,
MultMed(14), No. 4, 2012, pp. 1196-1205.
IEEE DOI 1208
BibRef

Inoue, N.[Nakamasa], Shinoda, K.[Koichi],
q-Gaussian mixture models for image and video semantic indexing,
JVCIR(24), No. 8, 2013, pp. 1450-1457.
Elsevier DOI 1312
BibRef
Earlier:
q-Gaussian Mixture Models Based on Non-extensive Statistics for Image and Video Semantic Indexing,
ACCV12(II:499-510).
Springer DOI 1304
Semantic indexing BibRef

Inoue, N.[Nakamasa], Saito, T.[Tatsuhiko], Shinoda, K.[Koichi], Furui, S.[Sadaoki],
High-Level Feature Extraction Using SIFT GMMs and Audio Models,
ICPR10(3220-3223).
IEEE DOI 1008
BibRef

de Marsico, M.[Maria], Doretto, G.[Gianfranco], Riccio, D.[Daniel],
M-VIVIE: A multi-thread video indexer via identity extraction,
PRL(33), No. 14, 15 October 2012, pp. 1882-1890.
Elsevier DOI 1209
Video indexing; Face recognition; Identity management BibRef

Choi, J.[Jaesik], Wang, Z.Y.[Zi-Yu], Lee, S.C.[Sang-Chul], Jeon, W.J.[Won J.],
A spatio-temporal pyramid matching for video retrieval,
CVIU(117), No. 6, June 2013, pp. 660-669.
Elsevier DOI 1304
Video retrieval; Query by video clip; High-activity videos; Sport videos; Pyramid matching; Spatio-temporal pyramid matching BibRef

Song, J.K.[Jing-Kuan], Yang, Y.[Yi], Huang, Z.[Zi], Shen, H.T.[Heng Tao], Luo, J.B.[Jie-Bo],
Effective Multiple Feature Hashing for Large-Scale Near-Duplicate Video Retrieval,
MultMed(15), No. 8, December 2013, pp. 1997-2008.
IEEE DOI 1412
binary codes BibRef

Hao, Y.B.[Yan-Bin], Mu, T.T.[Ting-Ting], Hong, R.C.[Ri-Chang], Wang, M.[Meng], An, N.[Ning], Goulermas, J.Y.[John Y.],
Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval,
MultMed(19), No. 1, January 2017, pp. 1-14.
IEEE DOI 1612
Copyright protection BibRef

Hao, Y.B.[Yan-Bin], Mu, T.T.[Ting-Ting], Goulermas, J.Y.[John Y.], Jiang, J., Hong, R.C.[Ri-Chang], Wang, M.[Meng],
Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension,
IP(26), No. 11, November 2017, pp. 5531-5544.
IEEE DOI 1709
Computational modeling, Feature extraction, Machine learning, Neural networks, Robustness, Training, Visualization, Student t-distribution, Video retrieval, deep neural network, hashing, multi-view learning, unsupervised, learning BibRef

Gao, X.J.[Xin-Jian], Mu, T.T.[Ting-Ting], Goulermas, J.Y.[John Y.], Wang, M.[Meng],
Topic driven multimodal similarity learning with multi-view voted convolutional features,
PR(75), No. 1, 2018, pp. 223-234.
Elsevier DOI 1712
Convolutional auto-encoder BibRef

Song, J.K.[Jing-Kuan], Yang, Y.[Yi], Huang, Z.[Zi], Shen, H.T.[Heng Tao], Hong, R.C.[Ri-Chang],
Multiple feature hashing for real-time large scale near-duplicate video retrieval,
MMC11(423-432).
DOI Link Data available:
See also Large Scale Video Database. 1203
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Yang, Y.[Yang], Zha, Z.J.[Zheng-Jun], Gao, Y.[Yue], Zhu, X.F.[Xiao-Feng], Chua, T.S.[Tat-Seng],
Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss,
MultMed(16), No. 6, October 2014, pp. 1677-1689.
IEEE DOI 1410
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IEEE DOI 1502
Internet BibRef

Murata, M.[Masaya], Nagano, H.[Hidehisa], Mukai, R., Kashino, K.[Kunio], Satoh, S.[Shin'ichi],
BM25 With Exponential IDF for Instance Search,
MultMed(16), No. 6, October 2014, pp. 1690-1699.
IEEE DOI 1410
content-based retrieval BibRef

Murata, M.[Masaya], Nagano, H.[Hidehisa], Hiramatsu, K.[Kaoru], Kashino, K.[Kunio], Satoh, S.[Shin'ichi],
Bayesian Exponential Inverse Document Frequency and Region-of-Interest Effect for Enhancing Instance Search Accuracy,
IEICE(E99-D), No. 9, September 2016, pp. 2320-2331.
WWW Link. 1609
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Schoeffmann, K.[Klaus],
A User-Centric Media Retrieval Competition: The Video Browser Showdown 2012-2014,
MultMedMag(21), No. 4, October 2014, pp. 8-13.
IEEE DOI 1502
Browsers BibRef

Liu, W.[Wu], Mei, T.[Tao], Zhang, Y.D.[Yong-Dong],
Instant Mobile Video Search With Layered Audio-Video Indexing and Progressive Transmission,
MultMed(16), No. 8, December 2014, pp. 2242-2255.
IEEE DOI 1502
indexing BibRef

Geng, J.[Jie], Miao, Z.J.[Zhen-Jiang], Chi, H.[Hai],
Efficient Heuristic Methods for Multimodal Fusion and Concept Fusion in Video Concept Detection,
MultMed(17), No. 4, April 2015, pp. 498-511.
IEEE DOI 1503
BibRef
Earlier:
Temporal-Spatial Refinements for Video Concept Fusion,
ACCV12(III:547-559).
Springer DOI 1304
Adaptation models BibRef

de Souza, F.D.M.[Fillipe D.M.], Sarkar, S.[Sudeep], Srivastava, A.[Anuj], Su, J.Y.[Jing-Yong],
Pattern theory for representation and inference of semantic structures in videos,
PRL(72), No. 1, 2016, pp. 41-51.
Elsevier DOI 1604
Pattern theory BibRef

Araujo, A.[Andre], Girod, B.[Bernd],
Large-Scale Video Retrieval Using Image Queries,
CirSysVideo(28), No. 6, June 2018, pp. 1406-1420.
IEEE DOI 1806
Image segmentation, Indexes, Search problems, Visual databases, Visualization, Bloom filter, fisher vector, video retrieval BibRef

Araujo, A.[Andre], Chaves, J.[Jason], Angst, R.[Roland], Girod, B.[Bernd],
Temporal aggregation for large-scale query-by-image video retrieval,
ICIP15(1519-1522)
IEEE DOI 1512
image-based retrieval; temporal aggregation; video indexing; video search BibRef

Feng, Y., Zhou, P., Xu, J., Ji, S., Wu, D.,
Video Big Data Retrieval Over Media Cloud: A Context-Aware Online Learning Approach,
MultMed(21), No. 7, July 2019, pp. 1762-1777.
IEEE DOI 1906
Big Data, Cloud computing, Streaming media, Clustering algorithms, Media, Real-time systems, Complexity theory, Big data, online learning BibRef

Sasithradevi, A., Roomi, S.M.M.[S. Mohamed Mansoor],
Video classification and retrieval through spatio-temporal Radon features,
PR(99), 2020, pp. 107099.
Elsevier DOI 1912
A descriptor called the Spatio-Temporal Histogram of Radon Projections (STHRP). Bagged trees classification model, Linear discriminant analysis, Radon Projections, Video classification and retrieval BibRef

Wu, Y.[Yan], Liu, X.L.[Xiang-Long], Qin, H.T.[Hao-Tong], Xia, K.[Ke], Hu, S.[Sheng], Ma, Y.Q.[Yu-Qing], Wang, M.[Meng],
Boosting Temporal Binary Coding for Large-Scale Video Search,
MultMed(23), 2021, pp. 353-364.
IEEE DOI 2012
Visualization, Binary codes, Boosting, Encoding, Semantics, Indexing, Feature extraction, Large-scale video search, multi-table indexing BibRef

Zhao, L.[Liang], Yang, T.[Tao], Zhang, J.[Jie], Chen, Z.K.[Zhi-Kui],
Incremental multi-view correlated feature learning based on non-negative matrix factorisation,
IET-CV(15), No. 8, 2021, pp. 573-591.
DOI Link 2110
correlated feature learning, data clustering, incremental feature learning, multi-view data, unsupervised learning BibRef

Schall, K.[Konstantin], Hezel, N.[Nico], Jung, K.[Klaus], Barthel, K.U.[Kai Uwe],
Vibro: Video Browsing with Semantic and Visual Image Embeddings,
MMMod23(I: 665-670).
Springer DOI 2304
BibRef

Satar, B.[Burak], Hong-Yuan, Z.[Zhu], Bresson, X.[Xavier], Lim, J.H.[Joo Hwee],
Semantic Role Aware Correlation Transformer for Text To Video Retrieval,
ICIP21(1334-1338)
IEEE DOI 2201
Measurement, Visualization, Correlation, Social networking (online), Image processing, Semantics, cross-modal BibRef

Ozkan, S.[Savas], Akar, G.B.[Gozde Bozdagi],
Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video Search,
ICPR21(4926-4932)
IEEE DOI 2105
Visualization, Annotations, Semantic search, Fuses, Query processing, Hardware, Feature Indexing, Deep Features, Image-to-Video Search BibRef

Wang, L.[Lei], Huynh, D.Q.[Du Q.], Mansour, M.R.[Moussa Reda],
Loss Switching Fusion with Similarity Search for Video Classification,
ICIP19(974-978)
IEEE DOI 1910
Managing vidoe, find relevant info. video clustering, loss switching network, hashing BibRef

Ueki, K.,
Latent Concept Extraction for Zero-Shot Video Retrieval,
IVCNZ18(1-6)
IEEE DOI 1902
Databases, Buildings, Video sequences, Task analysis, Bridges, Assistive technology, Gesture recognition, Video retrieval, concept classifiers BibRef

Ueki, K., Hirakawa, K., Kikuchi, K., Kobayash, T.,
Fine-grained Video Retrieval using Query Phrases: Waseda_Meisei TRECVID 2017 AVS System,
ICPR18(3322-3327)
IEEE DOI 1812
Task analysis, Databases, NIST, Sports, Benchmark testing, Search problems, Training BibRef

Hendricks, L.A.[Lisa Anne], Wang, O.[Oliver], Shechtman, E.[Eli], Sivic, J.[Josef], Darrell, T.J.[Trevor J.], Russell, B.[Bryan],
Localizing Moments in Video with Natural Language,
ICCV17(5804-5813)
IEEE DOI 1802
feature extraction, image segmentation, natural language processing, text analysis, YouTube BibRef

Cheng, D.[De], Jiang, L.[Lu], Gong, Y.H.[Yi-Hong], Zheng, N.N.[Nan-Ning], Hauptmann, A.G.[Alexander G.],
Video Search via Ranking Network with Very Few Query Exemplars,
MMMod17(II: 419-430).
Springer DOI 1701
BibRef

Shah, S.[Sohil], Kulkarni, K.[Kuldeep], Biswas, A.[Arijit], Gandhi, A.[Ankit], Deshmukh, O.[Om], Davis, L.S.[Larry S.],
Weakly Supervised Learning of Heterogeneous Concepts in Videos,
ECCV16(VI: 275-293).
Springer DOI 1611
BibRef

di Salvo, R., Spampinato, C., Giordano, D.,
Generating reliable video annotations by exploiting the crowd,
WACV16(1-8)
IEEE DOI 1606
Benchmark testing BibRef

Zhang, Z.X.[Zhen-Xing], Li, W.[Wei], Gurrin, C.[Cathal], Smeaton, A.F.[Alan F.],
Faceted Navigation for Browsing Large Video Collection,
MMMod16(II: 412-417).
Springer DOI 1601
BibRef

Tahboub, K.[Khalid], Gadgil, N.J.[Neeraj J.], Delp, E.J.[Edward J.],
Content based video retrieval on mobile devices: How much content is enough?,
ICIP15(1603-1607)
IEEE DOI 1512
energy BibRef

Markatopoulou, F.[Foteini], Mezaris, V.[Vasileios], Patras, I.[Ioannis],
Cascade of classifiers based on binary, non-binary and deep convolutional network descriptors for video concept detection,
ICIP15(1786-1790)
IEEE DOI 1512
Cascade architecture BibRef

Markatopoulou, F.[Foteini], Mezaris, V.[Vasileios], Patras, I.[Ioannis],
Ordering of Visual Descriptors in a Classifier Cascade Towards Improved Video Concept Detection,
MMMod16(I: 874-885).
Springer DOI 1601
BibRef

Pittaras, N.[Nikiforos], Markatopoulou, F.[Foteini], Mezaris, V.[Vasileios], Patras, I.[Ioannis],
Comparison of Fine-Tuning and Extension Strategies for Deep Convolutional Neural Networks,
MMMod17(I: 102-114).
Springer DOI 1701
BibRef

Markatopoulou, F.[Foteini], Pittaras, N.[Nikiforos], Papadopoulou, O.[Olga], Mezaris, V.[Vasileios], Patras, I.[Ioannis],
A Study on the Use of a Binary Local Descriptor and Color Extensions of Local Descriptors for Video Concept Detection,
MMMod15(I: 282-293).
Springer DOI 1501
Extend ideas of ORB and SIFT for video concepts. BibRef

Lin, D.[Dahua], Fidler, S.[Sanja], Kong, C.[Chen], Urtasun, R.[Raquel],
Visual Semantic Search: Retrieving Videos via Complex Textual Queries,
CVPR14(2657-2664)
IEEE DOI 1409
Video retrieval; images and videos; scene understanding BibRef

Wang, L.[Lei], Elyan, E.[Eyad], Song, D.W.[Da-Wei],
Rebuilding Visual Vocabulary via Spatial-temporal Context Similarity for Video Retrieval,
MMMod14(I: 74-85).
Springer DOI 1405
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Choe, T.E.[Tae Eun], Deng, H.L.[Hong-Li], Guo, F.[Feng], Lee, M.W.[Mun Wai], Haering, N.,
Semantic Video-to-Video Search Using Sub-graph Grouping and Matching,
VECTaR13(787-794)
IEEE DOI 1403
feature extraction BibRef

Yang, Y.[Yan], Satoh, S.[Shin'ichi],
Efficient instance search from large video database via sparse filters in subspaces,
ICIP13(3972-3976)
IEEE DOI 1412
Image Retrieval BibRef

Döller, M.[Mario], Stegmaier, F.[Florian], Jans, S.[Simone], Kosch, H.[Harald],
TempoM2: A Multi Feature Index Structure for Temporal Video Search,
MMMod12(323-333).
Springer DOI 1201
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Wang, J.H.[Jing-Hua], Zhang, G.[Guoyan],
Video data mining based on K-Means algorithm for surveillance video,
IASP11(623-626).
IEEE DOI 1112
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Ducasse, R.[Raphael], Turaga, D.S.[Deepak S.], van der Schaar, M.[Mihaela],
Ordering of stream mining classifiers,
ICIP10(3177-3180).
IEEE DOI 1009
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Koz, A.[Alper], Lagendijk, R.L.,
Perceptual tagging of video files in P2P networks,
ICIP10(193-196).
IEEE DOI 1009
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Furini, M.[Marco], Geraci, F.[Filippo], Montangero, M.[Manuela], Pellegrini, M.[Marco],
VISTO: visual storyboard for web video browsing,
CIVR07(635-642).
DOI Link 0707
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Leung, T.[Thomas], Song, Y.[Yang], Zhang, J.[John],
Handling Label Noise in Video Classification via Multiple Instance Learning,
ICCV11(2056-2063).
IEEE DOI 1201
labels of unknown quality BibRef

Ni, B.B.[Bing-Bing], Song, Y.[Yang], Zhao, M.[Ming],
YouTubeEvent: On large-scale video event classification,
VECTaR11(1516-1523).
IEEE DOI 1201
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Wang, Z.S.[Zhe-Shen], Zhao, M.[Ming], Song, Y.[Yang], Kumar, S.[Sanjiv], Li, B.X.[Bao-Xin],
YouTubeCat: Learning to categorize wild web videos,
CVPR10(879-886).
IEEE DOI 1006
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Song, Y.[Yang], Zhao, M.[Ming], Yagnik, J.[Jay], Wu, X.Y.[Xiao-Yun],
Taxonomic classification for web-based videos,
CVPR10(871-878).
IEEE DOI 1006
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Harakawa, R.[Ryosuke], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Extraction of hierarchical structure of web communities including salient keyword estimation for web video retrieval,
ICIP15(1021-1025)
IEEE DOI 1512
Hierarchical structure BibRef

Harakawa, R.[Ryosuke], Hatakeyama, Y.[Yasutaka], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
An extraction method of hierarchical Web communities for Web video retrieval,
ICIP13(4397-4401)
IEEE DOI 1412
Hierarchical structure BibRef

Hatakeyama, Y.[Yasutaka], Ogawa, T.[Takahiro], Asamizu, S.[Satoshi], Haseyama, M.[Miki],
A Web community-based video retrieval method using canonical correlation analysis,
ICIP09(805-808).
IEEE DOI 0911
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Chang, E.Y.[Edward Y.],
Organizing multimedia data socially,
CIVR08(569-570). 0807
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Gkalelis, N.[Nikolaos], Mezaris, V.[Vasileios], Kompatsiaris, I.[Ioannis], Stathaki, T.[Tania],
Video event recounting using mixture subclass discriminant analysis,
ICIP13(4372-4376)
IEEE DOI 1412
Video event recounting BibRef

Tsampoulatidis, I.[Ioannis], Gkalelis, N.[Nikolaos], Dimou, A.[Anastasios], Mezaris, V.[Vasileios], Kompatsiaris, I.[Ioannis],
High-level event detection system based on discriminant visual concepts,
ICMR11(68).
DOI Link 1301
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Mezaris, V.[Vasileios], Dimou, A.[Anastasios], Kompatsiaris, I.[Ioannis],
On the use of feature tracks for dynamic concept detection in video,
ICIP10(4697-4700).
IEEE DOI 1009
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Vrochidis, S.[Stefanos], King, P.[Paul], Makris, L.[Lambros], Moumtzidou, A.[Anastasia], Nikolopoulos, S.[Spiros], Dimou, A.[Anastasios], Mezaris, V.[Vasileios], Kompatsiaris, I.[Ioannis],
MKLab interactive video retrieval system,
CIVR09(Article No 54).
DOI Link 0907
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Earlier: A1, A2, A3, A4, A7, A8, Only: CIVR08(563-564). 0807
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Vajaria, H.[Himanshu], Sarkar, S.[Sudeep], Kasturi, R.[Rangachar],
Clip retrieval using multi-modal biometrics in meeting archives,
ICPR08(1-4).
IEEE DOI 0812
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Singh, S.[Sameer], Ren, W.[Wei], Singh, M.[Maneesha],
A Novel Approach to Spatio-Temporal Video Analysis and Retrieval,
MIRAGE09(106-115).
Springer DOI 0905
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Earlier: A2, A3, A1:
A Novel Semantic Video Classification Model,
IPTA08(1-7).
IEEE DOI 0811
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Kim, G.[Gunhee], Faloutsos, C.[Christos], Hebert, M.[Martial],
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CVPR08(1-8).
IEEE DOI 0806
Finding the best extracted features. BibRef

Dai, D.X.[Deng-Xin], Wut, T.F.[Tian-Fu], Zhu, S.C.[Song-Chun],
Discovering scene categories by information projection and cluster sampling,
CVPR10(3455-3462).
IEEE DOI 1006
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Lee, M.W.[Mun Wai], Hakeem, A.[Asaad], Haering, N.C.[Niels C.], Zhu, S.C.[Song-Chun],
SAVE: A framework for semantic annotation of visual events,
InterNet08(1-8).
IEEE DOI 0806
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Singh, G.[Gajinder], Puri, M.[Manika], Lubin, J.[Jeffrey], Sawhney, H.S.[Harpreet S.],
Content-Based Matching of Videos Using Local Spatio-temporal Fingerprints,
ACCV07(II: 414-423).
Springer DOI 0711
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Wei, Y.[Yong], Bhandarkar, S.M.[Suchendra M.], Li, K.[Kang],
Semantics-Based Video Indexing using a Stochastic Modeling Approach,
ICIP07(IV: 313-316).
IEEE DOI 0709
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Huang, H.Y.[Hui-Yu], Shih, W.S.[Weir-Sheng], Hsu, W.H.[Wen-Hsing],
A Movie Classifier Based on Visual Features,
CAIP07(937-944).
Springer DOI 0708
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Cheng, W.G.[Wen-Gang], Liu, C.[Chang'an], Wang, X.B.[Xing-Bo],
A Rough Set Approach to Video Genre Classification,
ACIVS06(1210-1220).
Springer DOI 0609
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Shi, Z.P.[Zhi-Ping], Li, Q.Y.[Qing-Yong], Shi, Z.W.[Zhi-Wei], Shi, Z.Z.[Zhong-Zhi],
Semantics Supervised Cluster-Based Index for Video Databases,
CIVR06(453-462).
Springer DOI 0607
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Li, Q.Y.[Qing-Yong], Hu, H.[Hong], Shi, Z.Z.[Zhong-Zhi],
Semantic feature extraction using genetic programming in image retrieval,
ICPR04(I: 648-651).
IEEE DOI 0409
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Zhang, S.[Sulan], Shi, C.Q.[Chun-Qi], Zhang, Z.Y.[Zhi-Yong], Shi, Z.Z.[Zhong-Zhi],
A Global Geometric Approach for Image Clustering,
ICPR06(III: 1244-1247).
IEEE DOI 0609
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And: ICPR06(IV: 960).
IEEE DOI 0609
BibRef

Zheng, W.J.[Wu-Jie], Li, J.M.[Jian-Min], Si, Z.Z.[Zhang-Zhang], Lin, F.Z.[Fu-Zong], Zhang, B.[Bo],
Using High-Level Semantic Features in Video Retrieval,
CIVR06(370-379).
Springer DOI 0607
BibRef

Qin, D.F.[Dan-Feng], Gammeter, S.[Stephan], Bossard, L.[Lukas], Quack, T.[Till], Van Gool, L.J.[Luc J.],
Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors,
CVPR11(777-784).
IEEE DOI 1106
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Dantone, M.[Matthias], Bossard, L.[Lukas], Quack, T.[Till], Van Gool, L.J.[Luc J.],
Augmented faces,
IWMV11(24-31).
IEEE DOI 1201
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Gammeter, S.[Stephan], Bossard, L.[Lukas], Quack, T.[Till], Van Gool, L.J.[Luc J.],
I Know What You Did Last Summer: Object-level Auto-annotation of Holiday Snaps,
ICCV09(614-621).
IEEE DOI 0909
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Gammeter, S.[Stephan], Quack, T.[Till], Tingdahl, D.[David], Van Gool, L.J.[Luc J.],
Size Does Matter: Improving Object Recognition and 3D Reconstruction with Cross-Media Analysis of Image Clusters,
ECCV10(I: 734-747).
Springer DOI 1009
Improve the quality of the reference database by expanding small clusters. BibRef

Van Gool, L.J.[Luc J.], Breitenstein, M.D.[Michael D.], Gammeter, S.[Stephan], Grabner, H.[Helmut], Quack, T.[Till],
Mining from large image sets,
CIVR09(Article No 10).
DOI Link 0907
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Quack, T.[Till], Leibe, B.[Bastian], Van Gool, L.J.[Luc J.],
World-scale mining of objects and events from community photo collections,
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Neo, S.Y.[Shi-Yong], Zhao, J.[Jin], Kan, M.Y.[Min-Yen], Chua, T.S.[Tat-Seng],
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Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Video Database Indexing, Motion Analysis .