Virage,
WWW Link.
Vendor, Image Query.
Vendor, Surveillance. Video Indexing.
Part of
Autonomy
VideoSurf,
2009.
WWW Link.
Vendor, Image Query. A video search based on content and appearance, i.e. faces.
Large Scale Video Database,
2012.
WWW Link.
Dataset, Video Database.
1203
This database consists of 156,823 videos sequences
(2,907,447 keyframes), which were crawled from YouTube during the
period of July 2010 to September 2010. We provide the features as well
as the ground truth.
See also Multiple feature hashing for real-time large scale near-duplicate video retrieval.
See also Large Scale Dataset for Cross-Model Multimedia Analysis.
MA14KD: Movie Attraction 14K Dataset,
WWW Link.
Dataset, Visual Attractiveness. MA14KD provides a set of "Attractiveness" features extracted from
14000 movie and TV series trailers. The movie IDs are in agreement
with the movie IDs provided by a rating dataset, that contains
millions of ratings and thousands of tags.
Cowan, C.,
Cen, S.W.,
Walpole, J.,
Pu, C.,
Adaptive Methods for Distributed Video Presentation,
Surveys(27), No. 4, December 1995, pp. 580-583.
Survey, Image Retrieval.
BibRef
9512
Dimitrova, N.,
The Myth of Semantic Video Retrieval,
Surveys(27), No. 4, December 1995, pp. 584-586.
Survey, Image Retrieval.
BibRef
9512
Lippman, A.[Andrew],
Aigrain, P.[Philippe],
Narasimhalu, A.D.[A. Desai],
Pentland, A.[Alex],
Video semantics,
SP:IC(8), No. 4, May 1996, pp. 267-268.
Elsevier DOI
0001
Guest Editorial Introducation
BibRef
Taves, B.,
Hoffman, J., and
Lund, K.,
The moving image genre-form guide,
Online1998
HTML Version.
BibRef
9800
Dimitrova, N.,
Zhang, H.J.,
Shahraray, B.,
Sezan, I.,
Huang, T.S., and
Zakhor, A.,
Applications of video-content analysis and retrieval,
MultMedMag(9), No. 3, July/September 2002, pp. 42-55.
BibRef
0207
Ebrahimi, T.,
Salembier, P.,
Special Issue on Video Sequence Segmentation for
Content Based Processing and Manipulation,
SP(66), No. 2, April 1998, pp. 123-124.
9807
BibRef
Ngan, K.N.,
Panchanathan, S.,
Sikora, T.,
Sun, M.T.,
Special Issue on Segmentation, Description, and Retrieval of Video Content:
Guest Editorial,
CirSysVideo(8), No. 5, September 1998, pp. 521-524.
IEEE Top Reference.
9810
BibRef
Manjunath, B.S.,
Huang, T.S.,
Tekalp, A.M.,
Zhang, H.J.,
Introduction to the Special Issue on Image and Video Processing for
Digital Libraries,
IP(9), No. 1, January 2000, pp. 1-2.
IEEE DOI
0001
BibRef
Fuh, C.S.,
Cho, S.W.,
Essig, K.,
Hierarchical Color Image Region Segmentation for Content-Based Image
Retrieval System,
IP(9), No. 1, January 2000, pp. 156-162.
IEEE DOI
0001
Segmentation, Color.
BibRef
Jiang, X.Y.[Xiao-Yi],
Bunke, H.[Horst],
Preface Special Issue on Image/Video Indexing and Retrieval,
PRL(22), No. 5, April 2001, pp. 445-446.
Elsevier DOI
0105
BibRef
Pieper, J.[Jan],
Srinivasan, S.[Savitha],
Dom, B.[Byron],
Streaming-Media Knowledge Discovery,
Computer(34), No. 9, September 2001, pp. 68-74.
HTML Version. Discussion of data.
0110
BibRef
Westerveld, T.[Thijs],
de Vries, A.P.[Arjen P.],
van Ballegooij, A.[Alex],
de Jong, F.[Franciska],
Hiemstra, D.[Djoerd],
A Probabilistic Multimedia Retrieval Model and Its Evaluation,
JASP(2003), No. 2, February 2003, pp. 186.
WWW Link.
0304
BibRef
Aly, R.[Robin],
Hiemstra, D.[Djoerd],
de Vries, A.P.[Arjen P.],
Reusing annotation labor for concept selection,
CIVR09(Article No 44).
DOI Link
0907
BibRef
Aly, R.[Robin],
Hiemstra, D.[Djoerd],
de Vries, A.[Arjen],
de Jong, F.[Franciska],
A probabilistic ranking framework using unobservable binary events for
video search,
CIVR08(349-358).
0807
BibRef
Westerveld, T.[Thijs],
de Vries, A.P.[Arjen P.],
Generative probabilistic models for multimedia retrieval:
Query generation against document generation,
VISP(152), No. 6, December 2005, pp. 852-858.
DOI Link
0512
BibRef
Earlier:
Multimedia Retrieval Using Multiple Examples,
CIVR04(344-352).
Springer DOI
0505
BibRef
Rosenfeld, A.[Azriel],
Doermann, D.[David], and
DeMenthon, D.F.[Daniel F.], (eds.),
Video Mining,
KluwerJuly 2003.
WWW Link. ISBN 1-4020-7549-9.
Indexed as:
BibRef
0307
VideoMining03
BibRef
Petkovic, M.[Milan],
Jonker, W.[Willem],
Content-Based Video Retrieval:
A Database Perspective,
KluwerAugust 2003.
ISBN 1-4020-7617-7
WWW Link. Springer version:
HTML Version.
Buy this book: Content-Based Video Retrieval: A Database Perspective (MULTIMEDIA SYSTEMS AND APPLICATIONS)
Petkovic, M.[Milan],
Jonker, W.[Willem],
Integrated use of different content derivation techniques within a
multimedia database management system,
JVCIR(15), No. 3, September 2004, pp. 303-329.
Elsevier DOI
0711
BibRef
Earlier:
Content-Based Video Retrieval by Integrating Spatio-Temporal and
Stochastic recognition of events,
EventVideo01(75-82).
IEEE DOI
0106
Content-based video retrieval; Multimedia databases; Video indexing;
Spatio-temporal event recognition; Hidden Markov models;
Dynamic Bayesian networks
BibRef
Sebe, N.[Nicu],
Lew, M.S.[Michael S.],
Smeulders, A.W.M.[Arnold W. M.],
Video retrieval and summarization,
CVIU(92), No. 2-3, November-December 2003, pp. 141-146.
Elsevier DOI
0311
Guest editorial introduction.
BibRef
Lew, M.S.[Michael S.],
Sebe, N.[Nicu],
Eakins, J.P.[John P.],
Challenges of Image and Video Retrieval,
CIVR02(1-6).
Springer DOI
0208
BibRef
Smith, M.A.[Michael A.],
Kanade, T.[Takeo],
Multimodal Video Characterization and Summarization,
Kluwer2005.
Series in Video Computing, Vol. 9.
ISBN 1-4020-7426-3.
(Kluwer has merged into Springer)
HTML Version.
Buy this book: Multimodal Video Characterization and Summarization (The International Series in Video Computing)
Hanjalic, A.[Alan],
Content-Based Analysis of Digital Video,
Springer2004.
ISBN: 1-4020-8114-6
HTML Version.
Buy this book: Content- Based Analysis of Digital Video
Joly, P.[Philippe],
Benois-Pineau, J.[Jenny],
Kijak, E.[Ewa],
Quenot, G.[Georges],
The ARGOS campaign: Evaluation of video analysis and indexing tools,
SP:IC(22), No. 7-8, August-September 2007, pp. 705-717.
Elsevier DOI
0710
Evaluation, Video Indexing. Evaluation metrics; Video indexing
BibRef
Kankanhalli, M.S.,
Rui, Y.,
Application Potential of Multimedia Information Retrieval,
PIEEE(96), No. 4, April 2008, pp. 712-720.
IEEE DOI
0804
BibRef
Hanjalic, A.,
Lienhart, R.,
Ma, W.Y.,
Smith, J.R.,
The Holy Grail of Multimedia Information Retrieval:
So Close or Yet So Far Away?,
PIEEE(96), No. 4, April 2008, pp. 541-547.
IEEE DOI
0804
BibRef
Brezeale, D.[Darin],
Cook, D.J.[Diane J.],
Automatic Video Classification: A Survey of the Literature,
SMC-C(38), No. 3, May 2008, pp. 416-430.
IEEE DOI
0804
Survey, Video Analysis. Groups papers according to whether they mostly use Text (captions), Audio,
or Visual analysis. (Longest list is visual.)
Color, Shot, Object, or Motion based analysis.
Good review of the field.
Discusses other video processing techniques.
BibRef
Brezeale, D.[Darin],
Cook, D.J.[Diane J.],
Learning Video Preferences Using Visual Features and Closed Captions,
MultMedMag(16), No. 3, July-September 2009, pp. 39-47.
IEEE DOI
0909
BibRef
Leung, M.K.[Man-Kang],
Fu, C.W.[Chi-Wing],
A User Interface Design For Acquiring Statistics From Video,
IJIG(8), No. 3, July 2008, pp. 327-349.
0807
BibRef
Tao, D.C.[Da-Cheng],
Shen, J.L.[Jia-Lie],
Li, X.L.[Xue-Long],
Guest editorial: Special issue on multimedia information retrieval,
IJIST(18), No. 2-3, 2007, pp. 85.
DOI Link
0804
BibRef
Tao, D.C.[Da-Cheng],
Li, X.L.[Xue-Long],
Tang, Y.Y.[Yuan Yan],
Learning semantics from multimedia content,
PR(42), No. 2, February 2009, pp. 217.
Elsevier DOI
0810
Guest editorial Intro to the issue.
BibRef
Schonfeld, D.,
Shan, C.,
Tao, D.,
Wang, L., (Eds.)
Video Search and Mining,
Springer2010, ISBN: 978-3-642-12899-8
WWW Link.
Survey, Video Mining. Buy this book: Video Search and Mining (Studies in Computational Intelligence)
BibRef
Wang, M.[Meng],
Sebe, N.[Nicu],
Mei, T.[Tao],
Li, J.[Jia],
Aizawa, K.[Kiyoharu],
Large-scale image and video search:
Challenges, technologies, and trends,
JVCIR(21), No. 8, November 2010, pp. 771-772.
Elsevier DOI
1011
Introduction to section.
BibRef
Hu, W.M.,
Xie, N.,
Li, L.,
Zeng, X.,
Maybank, S.J.,
A Survey on Visual Content-Based Video Indexing and Retrieval,
SMC-C(41), No. 6, November 2011, pp. 797-819.
IEEE DOI
1110
Survey, CBVIR.
Survey, Video Database.
Survey, Retrieval. General strategies, scene segmentation, key frames, shot boundary detection,
query interfaces, browsing, etc.
BibRef
Miller, K.,
Morreale, P.,
Finding the Needle in the Image Stack: Performance Metrics for Big
Data Image Analysis,
MultMedMag(21), No. 1, January 2014, pp. 84-89.
IEEE DOI
1405
Big Data
BibRef
Schoeffmann, K.[Klaus],
Ahlström, D.[David],
Bailer, W.[Werner],
Cobârzan, C.[Claudiu],
Hopfgartner, F.[Frank],
McGuinness, K.[Kevin],
Gurrin, C.[Cathal],
Frisson, C.[Christian],
Le, D.D.[Duy-Dinh],
del Fabro, M.[Manfred],
Bai, H.L.[Hong-Liang],
Weiss, W.[Wolfgang],
The Video Browser Showdown: a live evaluation of interactive video
search tools,
MultInfoRetr(3), No. 2, June 2014, pp. 113-127.
Springer DOI
1407
BibRef
Che, X.H.[Xian-Hui],
Ip, B.[Barry],
Lin, L.[Ling],
A Survey of Current YouTube Video Characteristics,
MultMedMag(22), No. 2, April 2015, pp. 56-63.
IEEE DOI
1507
Blogs
BibRef
Han, X.,
Singh, B.,
Morariu, V.I.[Vlad I.],
Davis, L.S.[Larry S.],
VRFP: On-the-Fly Video Retrieval Using Web Images and Fast Fisher
Vector Products,
MultMed(19), No. 7, July 2017, pp. 1583-1595.
IEEE DOI
1706
Databases, Detectors, Real-time systems, Semantics, Streaming media,
Training, Visualization, Fast inner products, Fisher Vectors,
video retrieval, web-based retrieval
BibRef
Yu, R.,
Li, A.[Ang],
Morariu, V.I.[Vlad I.],
Davis, L.S.[Larry S.],
Visual Relationship Detection with Internal and External Linguistic
Knowledge Distillation,
ICCV17(1068-1076)
IEEE DOI
1802
biology computing, data mining, genomics,
learning (artificial intelligence), text analysis, Wikipedia,
Visualization
BibRef
Li, A.,
Sun, J.,
Ng, J.Y.H.,
Yu, R.,
Morariu, V.I.[Vlad I.],
Davis, L.S.[Larry S.],
Generating Holistic 3D Scene Abstractions for Text-Based Image
Retrieval,
CVPR17(1942-1950)
IEEE DOI
1711
Image retrieval, Layout, Semantics, Solid modeling,
Visualization
BibRef
Nguyen, D.T.N.[Diep Thi-Ngoc],
Kiyoki, Y.S.[Yasu-Shi],
Multicontext-adaptive indexing and search for large-scale video
navigation,
MultInfoRetr(6), No. 2, June 2017, pp. 175-188.
WWW Link.
1708
BibRef
Ioannakis, G.,
Koutsoudis, A.,
Pratikakis, I.,
Chamzas, C.,
RETRIEVAL: An Online Performance Evaluation Tool for Information
Retrieval Methods,
MultMed(20), No. 1, January 2018, pp. 119-127.
IEEE DOI
1801
Internet, information retrieval, performance evaluation,
research and development, RETRIEVAL, evaluation metrics,
retrieval
BibRef
Sun, S.,
Zhou, W.,
Tian, Q.,
Yang, M.,
Li, H.,
Assessing Image Retrieval Quality at the First Glance,
IP(27), No. 12, December 2018, pp. 6124-6134.
IEEE DOI
1810
convolution, feedforward neural nets, image representation,
image retrieval, query processing, regression analysis,
CNN
BibRef
Nguyen, V.T.[Vinh-Tiep],
Le, D.D.[Duy Dinh],
Tran, M.T.[Minh-Triet],
Nguyen, T.V.[Tam V.],
Ngo, T.D.[Thanh Duc],
Satoh, S.[Shin'ichi],
Duong, D.A.[Duc Anh],
Video instance search via spatial fusion of visual words and object
proposals,
MultInfoRetr(8), No. 3, September 2019, pp. 181-192.
Springer DOI
1908
BibRef
Li, S.,
Chen, Z.,
Li, X.,
Lu, J.,
Zhou, J.,
Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks,
MultMed(22), No. 6, June 2020, pp. 1542-1554.
IEEE DOI
2005
Binary codes, Hash functions, Probabilistic logic, Correlation,
Decoding, Convolutional codes, Visualization, hashing, variational
BibRef
Rossetto, L.[Luca],
Gasser, R.[Ralph],
Heller, S.[Silvan],
Parian-Scherb, M.[Mahnaz],
Sauter, L.[Loris],
Spiess, F.[Florian],
Schuldt, H.[Heiko],
Peška, L.[Ladislav],
Soucek, T.[Tomáš],
Kratochvíl, M.[Miroslav],
Mejzlík, F.[František],
Veselý, P.[Patrik],
Lokoc, J.[Jakub],
On the User-Centric Comparative Remote Evaluation of Interactive
Video Search Systems,
MultMedMag(28), No. 4, October 2021, pp. 18-28.
IEEE DOI
2112
Task analysis, Visualization, Search problems, Tools, Servers,
Streaming media, Reproducibility of results
BibRef
Chen, S.[Siran],
Xu, Q.L.[Qing-Lin],
Ma, Y.[Yue],
Qiao, Y.[Yu],
Wang, Y.L.[Ya-Li],
Attentive Snippet Prompting for Video Retrieval,
MultMed(26), 2024, pp. 4348-4359.
IEEE DOI
2403
Visualization, Task analysis, Feature extraction, Feeds, Benchmark testing,
Transformers, Streaming media, Video retrieval, multi-modal learning
BibRef
Amato, G.[Giuseppe],
Bolettieri, P.[Paolo],
Carrara, F.[Fabio],
Falchi, F.[Fabrizio],
Gennaro, C.[Claudio],
Messina, N.[Nicola],
Vadicamo, L.[Lucia],
Vairo, C.[Claudio],
VISIONE at Video Browser Showdown 2023,
MMMod23(I: 615-621).
Springer DOI
2304
BibRef
Spiess, F.[Florian],
Heller, S.[Silvan],
Rossetto, L.[Luca],
Sauter, L.[Loris],
Weber, P.[Philipp],
Schuldt, H.[Heiko],
Traceable Asynchronous Workflows in Video Retrieval with vitrivr-VR,
MMMod23(I: 622-627).
Springer DOI
2304
BibRef
Song, W.X.[Wei-Xi],
He, J.[Jiangshan],
Li, X.[Xinghan],
Feng, S.W.[Shi-Wei],
Liang, C.[Chao],
QIVISE: A Quantum-Inspired Interactive Video Search Engine in VBS2023,
MMMod23(I: 640-645).
Springer DOI
2304
BibRef
Schoeffmann, K.[Klaus],
Stefanics, D.[Daniela],
Leibetseder, A.[Andreas],
diveXplore at the Video Browser Showdown 2023,
MMMod23(I: 684-689).
Springer DOI
2304
BibRef
Dereka, S.[Stanislav],
Karpukhin, I.[Ivan],
Kolesnikov, S.[Sergey],
Deep Image Retrieval is not Robust to Label Noise,
ODRUM22(4971-4976)
IEEE DOI
2210
Deep learning, Annotations, Image retrieval,
Training data, Manuals, Robustness
BibRef
Amato, G.[Giuseppe],
Bolettieri, P.[Paolo],
Carrara, F.[Fabio],
Falchi, F.[Fabrizio],
Gennaro, C.[Claudio],
Messina, N.[Nicola],
Vadicamo, L.[Lucia],
Vairo, C.[Claudio],
VISIONE at Video Browser Showdown 2022,
MMMod22(II:543-548).
Springer DOI
2203
BibRef
Ma, Z.X.[Zhi-Xin],
Wu, J.X.[Jia-Xin],
Hou, Z.J.[Zhi-Jian],
Ngo, C.W.[Chong-Wah],
Reinforcement Learning-Based Interactive Video Search,
MMMod22(II:549-555).
Springer DOI
2203
BibRef
Ho, K.[Khanh],
Dinh, V.X.[Vu Xuan],
Nguyen, H.Q.[Hong-Quang],
Le, K.[Khiem],
Tran, K.D.[Khang Dinh],
Do, T.[Tien],
Mai, T.D.[Tien-Dung],
Ngo, T.D.[Thanh Duc],
Le, D.D.[Duy-Dinh],
UIT at VBS 2022: An Unified and Interactive Video Retrieval System with
Temporal Search,
MMMod22(II:556-561).
Springer DOI
2203
BibRef
Tran, M.T.[Minh-Triet],
Hoang-Xuan, N.[Nhat],
Trang-Trung, H.P.[Hoang-Phuc],
Le, T.C.[Thanh-Cong],
Tran, M.K.[Mai-Khiem],
Le, M.Q.[Minh-Quan],
Le, T.K.[Tu-Khiem],
Ninh, V.T.[Van-Tu],
Gurrin, C.[Cathal],
V-FIRST: A Flexible Interactive Retrieval System for Video at VBS 2022,
MMMod22(II:562-568).
Springer DOI
2203
BibRef
Luu, D.T.[Duc-Tuan],
Quan, K.A.C.[Khanh-An C.],
Nguyen, T.Q.[Thinh-Quyen],
Hua, V.S.[Van-Son],
Nguyen, M.C.[Minh-Chau],
Tran, M.T.[Minh-Triet],
Nguyen, V.T.[Vinh-Tiep],
CDC: Color-Based Diffusion Model with Caption Embedding in VBS 2022,
MMMod22(II:575-579).
Springer DOI
2203
BibRef
Duane, A.[Aaron],
Jónsson, B.Ţ.[Björn Ţór],
ViRMA: Virtual Reality Multimedia Analytics at Video Browser Showdown
2022,
MMMod22(II:580-585).
Springer DOI
2203
BibRef
Le, T.K.[Tu-Khiem],
Ninh, V.T.[Van-Tu],
Tran, M.K.[Mai-Khiem],
Healy, G.[Graham],
Gurrin, C.[Cathal],
Tran, M.T.[Minh-Triet],
AVSeeker: An Active Video Retrieval Engine at VBS2022,
MMMod22(II:537-542).
Springer DOI
2203
BibRef
Khan, O.S.[Omar Shahbaz],
Sharma, U.[Ujjwal],
Jónsson, B.Ţ.[Björn Ţór],
Koelma, D.C.[Dennis C.],
Rudinac, S.[Stevan],
Worring, M.[Marcel],
Zahálka, J.[Jan],
Exquisitor at the Video Browser Showdown 2022,
MMMod22(II:511-517).
Springer DOI
2203
BibRef
Andreadis, S.[Stelios],
Moumtzidou, A.[Anastasia],
Galanopoulos, D.[Damianos],
Pantelidis, N.[Nick],
Apostolidis, K.[Konstantinos],
Touska, D.[Despoina],
Gkountakos, K.[Konstantinos],
Pegia, M.[Maria],
Gialampoukidis, I.[Ilias],
Vrochidis, S.[Stefanos],
Mezaris, V.[Vasileios],
Kompatsiaris, I.[Ioannis],
VERGE in VBS 2022,
MMMod22(II:530-536).
Springer DOI
2203
BibRef
Wang, X.H.[Xiao-Han],
Zhu, L.C.[Lin-Chao],
Yang, Y.[Yi],
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval,
CVPR21(5075-5084)
IEEE DOI
2111
Visualization, Semantics, Video sequences, Natural languages,
Benchmark testing, Extraterrestrial measurements, Pattern recognition
BibRef
Nefkens, M.[Marij],
Hürst, W.[Wolfgang],
The Moviewall: A New Interface for Browsing Large Video Collections,
MMMod21(II:170-182).
Springer DOI
2106
BibRef
Gabeur, V.[Valentin],
Sun, C.[Chen],
Alahari, K.[Karteek],
Schmid, C.[Cordelia],
Multi-modal Transformer for Video Retrieval,
ECCV20(IV:214-229).
Springer DOI
2011
BibRef
Andreadis, S.[Stelios],
Moumtzidou, A.[Anastasia],
Apostolidis, K.[Konstantinos],
Gkountakos, K.[Konstantinos],
Galanopoulos, D.[Damianos],
Michail, E.[Emmanouil],
Gialampoukidis, I.[Ilias],
Vrochidis, S.[Stefanos],
Mezaris, V.[Vasileios],
Kompatsiaris, I.[Ioannis],
Verge in VBS 2020,
MMMod20(II:778-783).
Springer DOI
2003
BibRef
Lokoc, J.[Jakub],
Kovalcík, G.[Gregor],
Soucek, T.[Tomáš],
Viret at Video Browser Showdown 2020,
MMMod20(II:784-789).
Springer DOI
2003
BibRef
Kratochvíl, M.[Miroslav],
Veselý, P.[Patrik],
Mejzlík, F.[František],
Lokoc, J.[Jakub],
Som-hunter: Video Browsing with Relevance-to-som Feedback Loop,
MMMod20(II:790-795).
Springer DOI
2003
BibRef
Jónsson, B.Ţ.[Björn Ţór],
Khan, O.S.[Omar Shahbaz],
Koelma, D.C.[Dennis C.],
Rudinac, S.[Stevan],
Worring, M.[Marcel],
Zahálka, J.[Jan],
Exquisitor at the Video Browser Showdown 2020,
MMMod20(II:796-802).
Springer DOI
2003
BibRef
Lee, S.[Sangmin],
Park, S.[Sungjune],
Ro, Y.M.[Yong Man],
IVIST: Interactive Video Search Tool in VBS 2022,
MMMod22(II:524-529).
Springer DOI
2203
BibRef
Lee, Y.[Yoonho],
Choi, H.[Heeju],
Park, S.[Sungjune],
Ro, Y.M.[Yong Man],
IVIST: Interactive Video Search Tool in VBS 2021,
MMMod21(II:423-428).
Springer DOI
2106
BibRef
Park, S.[Sungjune],
Song, J.[Jaeyub],
Park, M.H.[Min-Ho],
Ro, Y.M.[Yong Man],
IVIST: Interactive Video Search Tool in VBS 2020,
MMMod20(II:809-814).
Springer DOI
2003
BibRef
Mao, F.[Feng],
Wu, X.[Xiang],
Xue, H.[Hui],
Zhang, R.[Rong],
Hierarchical Video Frame Sequence Representation with Deep
Convolutional Graph Network,
Large-Scale18(IV:262-270).
Springer DOI
1905
BibRef
Nguyen, P.A.[Phuong Anh],
Ngo, C.W.[Chong-Wah],
Francis, D.[Danny],
Huet, B.[Benoit],
VIREO@Video Browser Showdown 2019,
MMMod19(II:609-615).
Springer DOI
1901
BibRef
Amato, G.[Giuseppe],
Bolettieri, P.[Paolo],
Carrara, F.[Fabio],
Debole, F.[Franca],
Falchi, F.[Fabrizio],
Gennaro, C.[Claudio],
Vadicamo, L.[Lucia],
Vairo, C.[Claudio],
VISIONE at VBS2019,
MMMod19(II:591-596).
Springer DOI
1901
BibRef
Lokoc, J.[Jakub],
Kovalcík, G.[Gregor],
Soucek, T.[Tomáš],
Moravec, J.[Jaroslav],
Bodnár, J.[Jan],
Cech, P.[Premysl],
VIRET Tool Meets NasNet,
MMMod19(II:597-601).
Springer DOI
1901
BibRef
Kletz, S.[Sabrina],
Leibetseder, A.[Andreas],
Schoeffmann, K.[Klaus],
Evaluation of Visual Content Descriptors for Supporting Ad-Hoc Video
Search Tasks at the Video Browser Showdown,
MMMod18(I:203-215).
Springer DOI
1802
BibRef
Diop, M.,
Camara, M.S.,
Fall, I.,
Bah, A.,
A methodology for prior management of temporal data quality in a data
mining process,
ISCV17(1-8)
IEEE DOI
1710
Complexity theory, Data mining, Data models, Databases, Software,
Software engineering, CRISP-DM, Data Mining, Data Quality,
Data warehousing, Software Engineering, Temporal, Data
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Inner product of JPEG coefficient vector (
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Variance and prediction statistics (
See also Scene Change Detection in a MPEG Compressed Video Sequence. ).
Motion Prediction Statistics (
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DC Coefficent difference sequences (
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and
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Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Video Database Indexing Techniques .