19.4.5.6.4 Video Retrieval, Video Annotation, Video Categorization, Genre

Chapter Contents (Back)
Video Annotation. Video Genre. Video Retrieval. Video Analysis. Annotation.

Sudhir, G., Lee, J.C.M.,
Video Annotation by Motion Interpretation Using Optical-Flow Streams,
JVCIR(7), No. 4, December 1996, pp. 354-368. 9704
BibRef

Carrer, M., Ligresti, L., Ahanger, G., Little, T.D.C.,
An Annotation Engine for Supporting Video Database Population,
MultToolApp(5), No. 3, November 1997, pp. 233-258. 9712
BibRef

Tan, Y.P., Saur, D.D., Kulkarni, S.R., Ramadge, P.J.,
Rapid Estimation of Camera Motion from Compressed Video with Application to Video Annotation,
CirSysVideo(10), No. 1, February 2000, pp. 133.
IEEE Top Reference. 0003
BibRef

Purnaveja, A.[Audi], Chaddha, N.[Navin], Vellanki, S.P.[Srinivas Prasad], del Val, D.[David], Gupta, A.[Anoop], Wang, E.Y.B.[Edward Yan-Bing],
Production of a video stream with synchronized annotations over a computer network,
US_Patent6,230,172, May 8, 2001
WWW Link. BibRef 0105

Chang, E., Goh, K.[Kingshy], Sychay, G., Wu, G.[Gang],
CBSA: content-based soft annotation for multimodal image retrieval using bayes point machines,
CirSysVideo(13), No. 1, January 2003, pp. 26-38.
IEEE Top Reference. 0301
BibRef

Dorado, A., Calic, J.[Janko], Izquierdo, E.[Ebroul],
A rule-based video annotation system,
CirSysVideo(14), No. 5, May 2004, pp. 622-633.
IEEE Abstract. 0407
BibRef

Carneiro, G.[Gustavo], Chan, A.B., Moreno, P.J., Vasconcelos, N.M.[Nuno M.],
Supervised Learning of Semantic Classes for Image Annotation and Retrieval,
PAMI(29), No. 3, March 2007, pp. 394-410.
IEEE DOI 0702
BibRef

Carneiro, G.[Gustavo], Vasconcelos, N.M.[Nuno M.],
Formulating Semantic Image Annotation as a Supervised Learning Problem,
CVPR05(II: 163-168).
IEEE DOI 0507
BibRef

Anjulan, A.[Arasanathan], Canagarajah, C.N.[C. Nishan],
Object based video retrieval with local region tracking,
SP:IC(22), No. 7-8, August-September 2007, pp. 607-621.
Elsevier DOI 0710
BibRef
And:
A Novel Video Mining System,
ICIP07(I: 185-188).
IEEE DOI 0709
BibRef
Earlier:
Video Object Mining with Local Region Tracking,
MCAM07(172-183).
Springer DOI 0706
BibRef
Earlier:
Video Scene Retrieval Based on Local Region Features,
ICIP06(3177-3180).
IEEE DOI 0610
BibRef
And:
A Novel Framework for Robust Annotation and Retrieval in Video Sequences,
CIVR06(183-192).
Springer DOI 0607
Object retrieval; Scene matching; Shot segmentation; Feature extraction; Feature clustering BibRef

Ionescu, B.[Bogdan], Coquin, D.[Didier], Lambert, P.[Patrick], Buzuloiu, V.[Vasile],
A Fuzzy Color-Based Approach for Understanding Animated Movies Content in the Indexing Task,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Ionescu, B.[Bogdan], Seyerlehner, K.[Klaus], Rasche, C.[Christoph], Vertan, C.[Constantin], Lambert, P.[Patrick],
Content-Based Video Description for Automatic Video Genre Categorization,
MMMod12(51-62).
Springer DOI 1201
BibRef

Anjulan, A.[Arasanathan], Canagarajah, C.N.[C. Nishan],
A Unified Framework for Object Retrieval and Mining,
CirSysVideo(19), No. 1, January 2009, pp. 63-76.
IEEE DOI 0902
BibRef

Campanella, M.[Marco], Leonardi, R.[Riccardo], Migliorati, P.[Pierangelo],
Interactive visualization of video content and associated description for semantic annotation,
SIViP(3), No. 2, June 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier:
The Future-Viewer Visual Environment for Semantic Characterization of Video Sequences,
ICIP05(I: 1209-1212).
IEEE DOI 0512
Semi-automatic annotation system. BibRef

Wang, M., Hua, X.S.[Xian-Sheng], Hong, R., Tang, J., Qi, G.J.[Guo-Jun], Song, Y.[Yan],
Unified Video Annotation via Multigraph Learning,
CirSysVideo(19), No. 5, May 2009, pp. 733-746.
IEEE DOI 0906
BibRef

Qi, G.J.[Guo-Jun], Song, Y.[Yan], Hua, X.S.[Xian-Sheng], Zhang, H.J.[Hong-Jiang], Dai, L.R.[Li-Rong],
Video Annotation by Active Learning and Cluster Tuning,
SLAM06(114).
IEEE DOI 0609
BibRef

You, J.Y.[Jun-Yong], Liu, G.Z.[Gui-Zhong], Perkis, A.[Andrew],
A semantic framework for video genre classification and event analysis,
SP:IC(25), No. 4, April 2010, pp. April 2010, 287-302.
Elsevier DOI 1006
Semantic video analysis; Probabilistic model; Video genre classification; Event analysis BibRef

Moxley, E., Mei, T., Manjunath, B.S.,
Video Annotation Through Search and Graph Reinforcement Mining,
MultMed(12), No. 3, March 2010, pp. 184-193.
IEEE DOI 1003
BibRef

Torralba, A.B., Russell, B.C., Yuen, J.,
LabelMe: Online Image Annotation and Applications,
PIEEE(98), No. 8, August 2010, pp. 1467-1484.
IEEE DOI 1008
Web based annotation tool to allow users to provide info for computer vision system evaluations. BibRef

Yuen, J.[Jenny], Russell, B.C.[Bryan C.], Liu, C.[Ce], Torralba, A.B.[Antonio B.],
LabelMe video: Building a video database with human annotations,
ICCV09(1451-1458).
IEEE DOI 0909
Human annotations. BibRef

Li, Y., Tian, Y., Duan, L.Y., Yang, Y., Huang, T., Gao, W.,
Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context,
MultMed(12), No. 8, 2010, pp. 814-828.
IEEE DOI 1011
BibRef

Lee, S.Y.[Sih-Young], de Neve, W.[Wesley], Ro, Y.M.[Yong Man],
Tag refinement in an image folksonomy using visual similarity and tag co-occurrence statistics,
SP:IC(25), No. 10, November 2010, pp. 761-773.
Elsevier DOI 1101
Co-occurrence; Folksonomy; Recommendation; Refinement; Visual similarity User generated tags, for later retrieval. Noisy tags. BibRef

Min, H.S.[Hyun-Seok], Choi, J.Y.[Jae-Young], de Neve, W.[Wesley], Ro, Y.M.[Yong Man], Plataniotis, K.N.[Konstantinos N.],
Semantic annotation of personal video content using an image folksonomy,
ICIP09(257-260).
IEEE DOI 0911
See also Automatic Face Annotation in Personal Photo Collections Using Context-Based Unsupervised Clustering and Face Information Fusion. BibRef

Diou, C.[Christos], Stephanopoulos, G., Panagiotopoulos, P., Papachristou, C., Dimitriou, N., Delopoulos, A.,
Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion,
CirSysVideo(20), No. 12, December 2010, pp. 1808-1821.
IEEE DOI 1102
BibRef

Mei, T.[Tao], Hua, X.S.[Xian-Sheng], Li, S.,
VideoSense: A Contextual In-Video Advertising System,
CirSysVideo(19), No. 12, December 2009, pp. 1866-1879.
IEEE DOI 0912
BibRef

Tang, J.H.[Jin-Hui], Hua, X.S.[Xian-Sheng], Mei, T.[Tao], Qi, G.J.[Guo-Jun], Li, S.P.[Shi-Peng], Wu, X.Q.[Xiu-Qing],
Temporally Consistent Gaussian Random Field for Video Semantic Analysis,
ICIP07(IV: 525-528).
IEEE DOI 0709
BibRef

Yuan, X.[Xun], Lai, W.[Wei], Mei, T.[Tao], Hua, X.S.[Xian-Sheng], Wu, X.Q.[Xiu-Qing], Li, S.P.[Shi-Peng],
Automatic Video Genre Categorization using Hierarchical SVM,
ICIP06(2905-2908).
IEEE DOI 0610
BibRef

Paniagua-Martin, F.[Fernando], Garcia-Crespo, A.[Angel], Colomo-Palacios, R.[Ricardo], Ruiz-Mezcua, B.[Belen],
Semantic Annotation Architecture for Accessible Multimedia Resources,
MultMedMag(18), No. 2, April-June 2011, pp. 16-25.
IEEE DOI 1105
BibRef

Cao, J., Ngo, C.W., Zhang, Y.D., Li, J.T.,
Tracking Web Video Topics: Discovery, Visualization, and Monitoring,
CirSysVideo(21), No. 12, December 2011, pp. 1835-1846.
IEEE DOI 1112
BibRef

Lin, L.[Lin], Chen, C.[Chao], Shyu, M.L.[Mei-Ling], Chen, S.C.[Shu-Ching],
Weighted Subspace Filtering and Ranking Algorithms for Video Concept Retrieval,
MultMedMag(18), No. 3, 2011, pp. 32-43.
IEEE DOI 1108
BibRef

Shao, J.[Jian], Ma, S.[Shuai], Lu, W.M.[Wei-Ming], Zhuang, Y.T.[Yue-Ting],
A unified framework for web video topic discovery and visualization,
PRL(33), No. 4, March 2012, pp. 410-419.
Elsevier DOI 1201
Web video; Topic discovery; Topic visualization; Star-structured K-partite Graph; Linked cluster network; Co-clustering BibRef

Wollmer, M.[Martin], Weninger, F.[Felix], Knaup, T.[Tobias], Schuller, B.[Bjorn], Sun, C.[Congkai], Sagae, K.[Kenji], Morency, L.P.[Louis-Philippe],
YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context,
IEEE_Int_Sys(28), No. 3, 2013, pp. 46-53.
IEEE DOI 1309
Context awareness BibRef

Moran, S.[Sean], Lavrenko, V.[Victor],
A sparse kernel relevance model for automatic image annotation,
MultInfoRetr(3), No. 4, November 2014, pp. 209-229.
Springer DOI 1411
BibRef
Earlier:
Optimal Tag Sets for Automatic Image Annotation,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Feng, S.L., Manmatha, R., Lavrenko, V.,
Multiple Bernoulli relevance models for image and video annotation,
CVPR04(II: 1002-1009).
IEEE DOI 0408
BibRef

Tarvainen, J., Sjoberg, M., Westman, S., Laaksonen, J., Oittinen, P.,
Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments,
MultMed(16), No. 8, December 2014, pp. 2085-2098.
IEEE DOI 1502
content-based retrieval BibRef

Lew, M.S.[Michael S.],
Special issue on video retrieval,
MultInfoRetr(4), No. 1, March 2015, pp. 1-2.
WWW Link. 1503
BibRef

Lew, M.S.[Michael S.],
Special issue on visual information retrieval,
MultInfoRetr(5), No. 1, March 2016, pp. 1-2.
Springer DOI 1602
BibRef

Lin, T., Yang, M., Tsai, C., Wang, Y.F.,
Query-Adaptive Multiple Instance Learning for Video Instance Retrieval,
IP(24), No. 4, April 2015, pp. 1330-1340.
IEEE DOI 1503
Detectors BibRef

Dang, C.[Chinh], Radha, H.,
RPCA-KFE: Key Frame Extraction for Video Using Robust Principal Component Analysis,
IP(24), No. 11, November 2015, pp. 3742-3753.
IEEE DOI 1509
concave programming BibRef

Ferreira, L.[Lino], da Silva Cruz, L.A.[Luis A.], Assuncao, P.[Pedro],
A generic framework for optimal 2D/3D key-frame extraction driven by aggregated saliency maps,
SP:IC(39, Part A), No. 1, 2015, pp. 98-110.
Elsevier DOI 1512
3D key-frames BibRef

Ferreira, L.[Lino], Assuncao, P.[Pedro], da Silva Cruz, L.A.[Luis A.],
3D key-frame extraction method based on visual saliency,
IC3D16(1-7)
IEEE DOI 1703
dynamic programming BibRef

Wang, Y.X.[Yong-Xiong], Sun, S.X.[Shu-Xin], Ding, X.M.[Xue-Ming],
A self-adaptive weighted affinity propagation clustering for key frames extraction on human action recognition,
JVCIR(33), No. 1, 2015, pp. 193-202.
Elsevier DOI 1512
Key frames extraction BibRef

Duan, L.J.[Li-Juan], Xi, T.[Tao], Cui, S.[Song], Qi, H.G.[Hong-Gang], Bovik, A.C.[Alan C.],
A spatiotemporal weighted dissimilarity-based method for video saliency detection,
SP:IC(38), No. 1, 2015, pp. 45-56.
Elsevier DOI 1512
Saliency detection BibRef

Tu, Q.[Qin], Men, A.[Aidong], Jiang, Z.Q.[Zhu-Qing], Ye, F.[Feng], Xu, J.[Jun],
Video saliency detection incorporating temporal information in compressed domain,
SP:IC(38), No. 1, 2015, pp. 32-44.
Elsevier DOI 1512
Compressed domain BibRef

Li, C., Tu, Q., Xu, J., Gao, R., Wang, Q., Chang, Y.,
Ant colony optimization inspired saliency detection using compressed video information,
VCIP15(1-4)
IEEE DOI 1605
Ant colony optimization BibRef

Gao, R., Tu, Q., Xu, J., Lu, Y., Xie, W., Men, A.,
Visual saliency detection based on mutual information in compressed domain,
VCIP15(1-4)
IEEE DOI 1605
Entropy BibRef

Ioannidis, A.I.[Antonis I.], Chasanis, V.T.[Vasileios T.], Likas, A.C.[Aristidis C.],
Weighted multi-view key-frame extraction,
PRL(72), No. 1, 2016, pp. 52-61.
Elsevier DOI 1604
BibRef
Earlier:
Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering,
ICPR14(3463-3468)
IEEE DOI 1412
Key-frame extraction. Clustering algorithms BibRef

Fei, M., Jiang, W., Mao, W., Song, Z.,
New fusional framework combining sparse selection and clustering for key frame extraction,
IET-CV(10), No. 4, 2016, pp. 280-287.
DOI Link 1608
indexing BibRef

Qian, X.M.[Xue-Ming], Liu, X.X.[Xiao-Xiao], Ma, X.[Xiang], Lu, D.[Dan], Xu, C.Y.[Chen-Yang],
What Is Happening in the Video? Annotate Video by Sentence,
CirSysVideo(26), No. 9, September 2016, pp. 1746-1757.
IEEE DOI 1609
Artificial intelligence BibRef

Liao, H.S.[Hong-Sen], Chen, L.[Li], Song, Y.[Yibo], Ming, H.[Hao],
Visualization-Based Active Learning for Video Annotation,
MultMed(18), No. 11, November 2016, pp. 2196-2205.
IEEE DOI 1609
data visualisation BibRef

Chou, C.L., Chen, H.T., Lee, S.Y.,
Multimodal Video-to-Near-Scene Annotation,
MultMed(19), No. 2, February 2017, pp. 354-366.
IEEE DOI 1702
entropy BibRef

Wang, H.[Han], Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De],
Heterogeneous domain adaptation method for video annotation,
IET-CV(11), No. 2, March 2017, pp. 181-187.
DOI Link 1703
BibRef


Pobar, M.[Miran], Ivasic-Kos, M.[Marina],
Multi-label Poster Classification into Genres Using Different Problem Transformation Methods,
CAIP17(II: 367-378).
Springer DOI 1708
Classify movies by the poster. BibRef

Sageder, G.[Gerhard], Zaharieva, M.[Maia], Breiteneder, C.[Christian],
Group Feature Selection for Audio-Based Video Genre Classification,
MMMod16(I: 29-41).
Springer DOI 1601
BibRef

Mori, M.[Minoru], Kimiyama, H.[Hiroyuki], Ogawara, M.[Masanori],
Search-Based Content Analysis System on Online Collaborative Platform for Film Production,
ICPR14(1091-1096)
IEEE DOI 1412
Accuracy BibRef

Jang, W.D.[Won-Dong], Lee, C.[Chulwoo], Sim, J.Y.[Jae-Young], Kim, C.S.[Chang-Su],
Automatic Video Genre Classification Using Multiple SVM Votes,
ICPR14(2655-2660)
IEEE DOI 1412
Accuracy BibRef

Almeida, J.[Jurandy], Guimarães Pedronette, D.C.[Daniel Carlos], Penatti, O.A.B.[Otávio A.B.],
Unsupervised Manifold Learning for Video Genre Retrieval,
CIARP14(604-612).
Springer DOI 1411
BibRef

Ding, X.M.[Xin-Miao], Li, B.[Bing], Hu, W.M.[Wei-Ming], Xiong, W.H.[Wei-Hua], Wang, Z.C.[Zhen-Chong],
Context-aware horror video scene recognition via cost-sensitive sparse coding,
ICPR12(1904-1907).
WWW Link. 1302
BibRef

Ionescu, B.[Bogdan], Vertan, C.[Constantin], Lambert, P.[Patrick], Benoit, A.[Alexandre],
A color-action perceptual approach to the classification of animated movies,
ICMR11(10).
DOI Link 1301
two categories of content descriptors, temporal and color based BibRef

Strat, S.T.[Sabin Tiberius], Benoit, A.[Alexandre], Bredin, H.[Hervé], Quénot, G.[Georges], Lambert, P.[Patrick],
Hierarchical Late Fusion for Concept Detection in Videos,
Concept12(III: 335-344).
Springer DOI 1210
BibRef

Nagaraja, N.S.[Naveen Shankar], Ochs, P.[Peter], Liu, K.[Kun], Brox, T.[Thomas],
Hierarchy of Localized Random Forests for Video Annotation,
DAGM12(21-30).
Springer DOI 1209
BibRef

Tsapanos, N.[Nikolaos], Nikolaidis, N.[Nikolaos], Pitas, I.[Ioannis],
Towards automated post-production and semantic annotation of films,
ICIIP11(1-4).
IEEE DOI 1112
BibRef

Li, B.[Bing], Hu, W.M.[Wei-Ming], Xiong, W.H.[Wei-Hua], Wu, O.[Ou], Li, W.[Wei],
Horror Image Recognition Based on Emotional Attention,
ACCV10(II: 594-605).
Springer DOI 1011
For filtering videos on the web. BibRef

Wang, J.C.[Jian-Chao], Li, B.[Bing], Hu, W.M.[Wei-Ming], Wu, O.[Ou],
Horror movie scene recognition based on emotional perception,
ICIP10(1489-1492).
IEEE DOI 1009
BibRef

Chen, J.F.[Jian-Feng], Lu, H.[Hong], Wei, R.Z.[Ren-Zhong], Jin, C.[Cheng], Xue, X.Y.[Xiang-Yang],
An effective method for video genre classification,
CIVR10(97-104).
DOI Link 1007
BibRef

Kowdle, A.[Adarsh], Chang, K.W.[Kuo-Wei], Chen, T.H.[Tsu-Han],
Video categorization using object of interest detection,
ICIP10(4569-4572).
IEEE DOI 1009
BibRef

Petersohn, C.[Christian],
Temporal video structuring for preservation and annotation of video content,
ICIP09(93-96).
IEEE DOI 0911
BibRef

Wang, F.S.[Fang-Shi], Lu, W.[Wei], Liu, J.G.[Jin-Gen], Shah, M.[Mubarak], Xu, D.[De],
Automatic video annotation with adaptive number of key words,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kutics, A.[Andrea], Nakagawa, A.[Akihiko], Shindoh, K.[Kazuhiro],
Use of Adaptive Still Image Descriptors for Annotation of Video Frames,
ICIAR07(686-697).
Springer DOI 0708
BibRef

Wang, F.S.[Fang-Shi], Xu, D.[De], Lu, W.[Wei], Xu, H.L.[Hong-Li],
Automatic Annotation and Retrieval for Videos,
PSIVT06(1030-1040).
Springer DOI 0612
BibRef

Rosten, E.[Edward], Reitmayr, G.[Gerhard], Drummond, T.W.[Tom W.],
Real-Time Video Annotations for Augmented Reality,
ISVC05(294-302).
Springer DOI 0512
BibRef

Caspi, Y., Bargeron, D.,
Sharing video annotations,
ICIP04(IV: 2227-2230).
IEEE DOI 0505
BibRef

Wang, M.[Mei], Zhou, X.D.[Xiang-Dong], Chua, T.S.[Tat-Seng],
Automatic image annotation via local multi-label classification,
CIVR08(17-26). 0807
BibRef

Shi, R.[Rui], Feng, H.M.[Hua-Min], Chua, T.S.[Tat-Seng], Lee, C.H.[Chin-Hui],
An Adaptive Image Content Representation and Segmentation Approach to Automatic Image Annotation,
CIVR04(545-554).
Springer DOI 0505
BibRef

Jeon, J.[Jiwoon], Manmatha, R.,
Using Maximum Entropy for Automatic Image Annotation,
CIVR04(24-32).
Springer DOI 0505
BibRef

Feng, S.L.[Shao-Lei], Manmatha, R.,
A discrete direct retrieval model for image and video retrieval,
CIVR08(427-436). 0807
BibRef

Lin, C.Y.[Ching-Yung], Tseng, B.L., Naphade, M.R., Natsev, A.P., Smith, J.R.,
VideoAL: A novel end-to-end MPEG-7 video automatic labeling system,
ICIP03(III: 53-56).
IEEE DOI 0312
BibRef

Petkovic, M., Mihajlovic, V., Jonker, W.,
Techniques for automatic video content derivation,
ICIP03(II: 611-614).
IEEE DOI 0312
BibRef

Zhang, C.[Cha], Chen, T.H.[Tsu-Han],
Annotating retrieval database with active learning,
ICIP03(II: 595-598).
IEEE DOI 0312
BibRef

Naphade, M.R., Smith, J.R.,
Learning visual models of semantic concepts,
ICIP03(II: 531-534).
IEEE DOI 0312
BibRef
And:
Learning regional semantic concepts from incomplete annotation,
ICIP03(II: 603-606).
IEEE DOI 0312
BibRef

Hoogs, A., Rittscher, J., Stein, G., Schmiederer, J.,
Video content annotation using visual analysis and a large semantic knowledgebase,
CVPR03(II: 327-334).
IEEE DOI 0307
BibRef

del Bimbo, A.,
Expressive Semantics for automatic annotation and retrieval of video streams,
ICME00(TAS3). 0007
BibRef

Lienhart, R.,
A system for effortless content annotation to untold the semantics in videos,
CBAIVL00(45-49). 0008
BibRef

Madrane, N., Goldberg, M.,
Towards Automatic Annotation of Video Documents,
ICPR94(A:773-776).
IEEE DOI BibRef 9400

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Video Analysis, Key Frames, Keyframe .


Last update:Nov 11, 2017 at 13:31:57