19.4.5.6.10 Video Analysis, Key Frames, Keyframe

Chao, G.C.[Gwo-Cheng], Tsai, Y.P.[Yu-Pao], Jeng, S.K.[Shyh-Kang],
Augmented keyframe,
JVCIR(21), No. 7, October 2010, pp. 682-692.
Elsevier DOI 1003
Keyframe; Video abstraction; Video summarization; Surveillance video; Object tracking; Content extraction; Content synthesis; Motion analysis BibRef

Peng, J.[Jiang], Qin, X.L.[Xiao-Lin],
Keyframe-Based Video Summary Using Visual Attention Clues,
MultMedMag(17), No. 2, April-June 2010, pp. 64-73.
IEEE DOI 1006
BibRef

Omidyeganeh, M., Ghaemmaghami, S., Shirmohammadi, S.,
Video Keyframe Analysis Using a Segment-Based Statistical Metric in a Visually Sensitive Parametric Space,
IP(20), No. 10, October 2011, pp. 2730-2737.
IEEE DOI 1110
BibRef

Cheng, X., Chia, L.T.,
Stratification-Based Keyframe Cliques for Effective and Efficient Video Representation,
MultMed(13), No. 6, 2011, pp. 1333-1342.
IEEE DOI 1112
BibRef

Ejaz, N.[Naveed], Tariq, T.B.[Tayyab Bin], Baik, S.W.[Sung Wook],
Adaptive key frame extraction for video summarization using an aggregation mechanism,
JVCIR(23), No. 7, October 2012, pp. 1031-1040.
Elsevier DOI 1209
Key frame extraction; Video summarization; Video abstraction; Static video summary; Storyboard; Video analysis; Evaluation of video summary; Feature aggregation BibRef

Lai, J.L.[Jie-Ling], Yi, Y.[Yang],
Key frame extraction based on visual attention model,
JVCIR(23), No. 1, January 2012, pp. 114-125.
Elsevier DOI 1112
Video summarization; Key frame extraction; Visual attention model; Human perception; Fusion scheme; Saliency map; Attention curve; Frame clustering BibRef

Wang, M., Hong, R., Li, G., Zha, Z.J., Yan, S., Chua, T.S.,
Event Driven Web Video Summarization by Tag Localization and Key-Shot Identification,
MultMed(14), No. 4, 2012, pp. 975-985.
IEEE DOI 1208
BibRef

Lu, G.L.[Guo-Liang], Kudo, M.[Mineichi], Toyama, J.[Jun],
Selection of Characteristic Frames in Video for Efficient Action Recognition,
IEICE(E95-D), No. 10, October 2012, pp. 2514-2521.
WWW Link. 1210
BibRef

Lu, G.L.[Guo-Liang], Kudo, M.[Mineichi],
Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition,
IEICE(E96-D), No. 5, May 2013, pp. 1238-1242.
WWW Link. 1305
BibRef

Ji, Q.G.[Qing-Ge], Fang, Z.D.[Zhi-Dang], Xie, Z.H.[Zhen-Hua], Lu, Z.M.[Zhe-Ming],
Video abstraction based on the visual attention model and online clustering,
SP:IC(28), No. 3, March 2013, pp. 241-253.
Elsevier DOI 1303
Video abstraction; Saliency map; Key frame; Region of interest; Online clustering BibRef

Ji, Q.G.[Qing-Ge], Tan, Z.F.[Zhi-Feng], Lu, Z.M.[Zhe-Ming], Zhang, Y.[Yong],
An Improved Video Identification Scheme Based on Video Tomography,
IEICE(E97-D), No. 4, April 2014, pp. 919-927.
WWW Link. 1404
BibRef

Kuanar, S.K.[Sanjay K.], Panda, R.[Rameswar], Chowdhury, A.S.[Ananda S.],
Video key frame extraction through dynamic Delaunay clustering with a structural constraint,
JVCIR(24), No. 7, 2013, pp. 1212-1227.
Elsevier DOI 1309
Video summarization BibRef

Ejaz, N.[Naveed], Mehmood, I.[Irfan], Baik, S.W.[Sung Wook],
Efficient visual attention based framework for extracting key frames from videos,
SP:IC(28), No. 1, January 2013, pp. 34-44.
Elsevier DOI 1301
Video summarization; Key frame extraction; Visual attention model; Visual saliency BibRef

Ahmad, J.[Jamil], Mehmood, I.[Irfan], Baik, S.W.[Sung Wook],
Efficient object-based surveillance image search using spatial pooling of convolutional features,
JVCIR(45), No. 1, 2017, pp. 62-76.
Elsevier DOI 1704
Surveillance image search BibRef

Ahmad, J.[Jamil], Sajjad, M.[Muhammad], Mehmood, I.[Irfan], Rho, S.[Seungmin], Baik, S.W.[Sung Wook],
Saliency-weighted graphs for efficient visual content description and their applications in real-time image retrieval systems,
RealTimeIP(13), No. 3, September 2017, pp. 431-447.
Springer DOI 1710
BibRef

Vázquez-Martín, R.[Ricardo], Bandera, A.[Antonio],
Spatio-temporal feature-based keyframe detection from video shots using spectral clustering,
PRL(34), No. 7, 1 May 2013, pp. 770-779.
Elsevier DOI 1303
keyframe detection; Spectral clustering; Similarity measure BibRef

Liu, L.[Li], Shao, L.[Ling], Rockett, P.[Peter],
Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition,
PR(46), No. 7, July 2013, pp. 1810-1818.
Elsevier DOI 1303
Action recognition; Pyramidal motion features; Boosted key-frame selection; Correlograms BibRef

Guan, G., Wang, Z., Lu, S., Deng, J.D., Feng, D.D.,
Keypoint-Based Keyframe Selection,
CirSysVideo(23), No. 4, April 2013, pp. 729-734.
IEEE DOI 1304
BibRef

Zhu, X.B.[Xiao-Bin], Liu, J.[Jing], Wang, J.Q.[Jin-Qiao], Lu, H.Q.[Han-Qing],
Key observation selection-based effective video synopsis for camera network,
MVA(25), No. 1, January 2014, pp. 145-157.
WWW Link. 1412
BibRef
Earlier:
Key observation selection for effective video synopsis,
ICPR12(2528-2531).
WWW Link. 1302
BibRef

Dang, C.T., Radha, H.,
Heterogeneity Image Patch Index and Its Application to Consumer Video Summarization,
IP(23), No. 6, June 2014, pp. 2704-2718.
IEEE DOI 1406
Cameras BibRef

Dang, C.T., Kumar, M., Radha, H.,
Key frame extraction from consumer videos using epitome,
ICIP12(93-96).
IEEE DOI 1302
BibRef

Kumar, M.[Mrityunjay], Loui, A.C.[Alexander C.],
Key frame extraction from consumer videos using sparse representation,
ICIP11(2437-2440).
IEEE DOI 1201
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

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

Ju, J.[Jaeyong], Song, T.[Taeyup], Ku, B.[Bonhwa], Ko, H.S.[Han-Seok],
Key Frame Extraction Based on Chaos Theory and Color Information for Video Summarization,
IEICE(E99-D), No. 6, June 2016, pp. 1698-1701.
WWW Link. 1606
BibRef

Fei, M.J.[Meng-Juan], Jiang, W.[Wei], Mao, W.J.[Wei-Jie],
Memorable and rich video summarization,
JVCIR(42), No. 1, 2017, pp. 207-217.
Elsevier DOI 1701
Key frame BibRef

Meng, J.J.[Jing-Jing], Wang, S.[Suchen], Wang, H.X.[Hong-Xing], Yuan, J.S.[Jun-Song], Tan, Y.P.[Yap-Peng],
Video Summarization Via Multiview Representative Selection,
IP(27), No. 5, May 2018, pp. 2134-2145.
IEEE DOI 1804
BibRef
Earlier: A1, A2, A3, A5, A4: CEFR-LCV17(1189-1198)
IEEE DOI 1802
BibRef
Earlier: A1, A3, A4, A5, Only:
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection,
CVPR16(1039-1048)
IEEE DOI 1612
Benchmark testing, Dictionaries, Linear programming, Optimization, Sparse matrices, Visualization BibRef

Li, X., Zhao, B., Lu, X.,
Key Frame Extraction in the Summary Space,
Cyber(48), No. 6, June 2018, pp. 1923-1934.
IEEE DOI 1805
Clustering algorithms, Data mining, Dictionaries, Dynamics, Feature extraction, Histograms, Redundancy, Diverse, key frame, summary space BibRef

Schmuck, P., Chli, M.,
On the Redundancy Detection in Keyframe-Based SLAM,
3DV19(594-603)
IEEE DOI 1806
Simultaneous localization and mapping, Redundancy, Collaboration, Visualization, Optimization, SLAM, Graph Compression BibRef

Chen, M.J.[Ming-Ju], Han, X.F.[Xiao-Feng], Zhang, H.[Hua], Lin, G.J.[Guo-Jun], Kamruzzaman, M.M.,
Quality-guided key frames selection from video stream based on object detection,
JVCIR(65), 2019, pp. 102678.
Elsevier DOI 1912
Convolutional neural network, Key frame, Object detection, SIFT characteristics, Quality assessment model BibRef

Ponni, S.[Sethuraman], Ramakrishnan, S.[Srinivasan],
Non-redundant frame identification and keyframe selection in DWT-PCA domain for authentication of video,
IET-IPR(14), No. 2, February 2020, pp. 366-375.
DOI Link 2001
alias Sathya. BibRef

Singh, Y.[Yadwinder], Kaur, L.[Lakhwinder],
Effective key-frame extraction approach using TSTBTC-BBA,
IET-IPR(14), No. 4, 27 March 2020, pp. 638-647.
DOI Link 2003
BibRef

E Elahi, G.M.M.[G. M. Mashrur], Yang, Y.H.[Yee-Hong],
Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition,
PR(122), 2022, pp. 108273.
Elsevier DOI 2112
Online keyframes, Learnable threshold, Video summarization, Action recognition BibRef

Wu, Z.X.[Zu-Xuan], Li, H.D.[Heng-Duo], Xiong, C.M.[Cai-Ming], Jiang, Y.G.[Yu-Gang], Davis, L.S.[Larry S.],
A Dynamic Frame Selection Framework for Fast Video Recognition,
PAMI(44), No. 4, April 2022, pp. 1699-1711.
IEEE DOI 2203
Computational modeling, Video sequences, Computational efficiency, Standards, Video classification, reinforcement learning BibRef

Wu, Z.X.[Zu-Xuan], Xiong, C.M.[Cai-Ming], Ma, C.Y.[Chih-Yao], Socher, R.[Richard], Davis, L.S.[Larry S.],
AdaFrame: Adaptive Frame Selection for Fast Video Recognition,
CVPR19(1278-1287).
IEEE DOI 2002
BibRef

Dong, W.K.[Wen-Kai], Zhang, Z.X.[Zhao-Xiang], Song, C.F.[Chun-Feng], Tan, T.N.[Tie-Niu],
Identifying the key frames: An attention-aware sampling method for action recognition,
PR(130), 2022, pp. 108797.
Elsevier DOI 2206
Action recognition, Deep learning, Reinforcement learning, Pseudo labels BibRef

Liu, J.X.[Ji-Xin], Li, Y.C.[Yi-Cong], Han, G.[Guang], Sun, N.[Ning],
Visual video evaluation association modeling based on chaotic pseudo-random multi-layer compressed sensing for visual privacy-protected keyframe extraction,
JVCIR(90), 2023, pp. 103691.
Elsevier DOI 2301
Multi-layer VPP coding, Visual evaluation algorithm, Keyframe extraction, Association model BibRef

Lin, J.T.[Jin-Tao], Duan, H.D.[Hao-Dong], Chen, K.[Kai], Lin, D.[Dahua], Wang, L.M.[Li-Min],
OCSampler: Compressing Videos to One Clip with Single-step Sampling,
CVPR22(13884-13893)
IEEE DOI 2210
Semantics, Graphics processing units, Benchmark testing, Throughput, Sampling methods, Pattern recognition, retrieval BibRef

Rüfenacht, D.[Dominic],
Keyframe Insights into Real-Time Video Tagging of Compressed UHD Content,
CIAP22(III:147-157).
Springer DOI 2205
BibRef

Qiu, Z.F.[Zhao-Fan], Yao, T.[Ting], Shu, Y.[Yan], Ngo, C.W.[Chong-Wah], Mei, T.[Tao],
Condensing a Sequence to One Informative Frame for Video Recognition,
ICCV21(16291-16300)
IEEE DOI 2203
Visualization, Image recognition, Motion estimation, Video sequences, Media, Video analysis and understanding BibRef

Ma, Y.J.[Yong-Juan], Wang, Y.[Yu], Zhu, P.F.[Peng-Fei], Pan, J.W.[Jun-Wen], Shi, H.[Hong],
Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention,
ICIP21(409-413)
IEEE DOI 2201
Graphics, Training, Entropy, Image sequences, Task analysis, Content classification, animated GIFS, Web GF dataset, entropy loss BibRef

Zia, N.U.[Noor Ul_Sehr], Kayhan, O.S.[Osman Semih], van Gemert, J.C.[Jan C.],
PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations,
ICIP21(2598-2602)
IEEE DOI 2201
Training, Deep learning, Uncertainty, Annotations, Image processing, Proposals, Proposal Generation, Action Localization, Positive-Unlabeled Learning BibRef

Kayhan, O.S.[Osman Semih], Vredebregt, B.[Bart], van Gemert, J.C.[Jan C.],
Hallucination In Object Detection: A Study In Visual Part Verification,
ICIP21(2234-2238)
IEEE DOI 2201
Visualization, Image processing, Detectors, Object detection, Task analysis, Visual part verification, object detection BibRef

Chen, Y., Yan, L., Lin, X.,
An Automatic Key-frame Selection Method for Visual Odometry Based On The Improved PWC-Net,
ISPRS20(B2:567-573).
DOI Link 2012
BibRef

Sheng, L., Xu, D., Ouyang, W., Wang, X.,
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM,
ICCV19(4301-4310)
IEEE DOI 2004
cameras, distance measurement, optimisation, pose estimation, SLAM (robots), unsupervised learning, video signal processing, Optimization BibRef

Haarbach, A., Birdal, T., Ilic, S.,
Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation,
3DV18(381-389)
IEEE DOI 1812
computer animation, interpolation, Lie algebras, pose estimation, splines (mathematics), dual quaternions BibRef

Zhu, Y., Yu, G., Yuan, J., Ma, K.,
Selecting Informative Frames for Action Recognition with Partial Observations,
ICIP18(465-469)
IEEE DOI 1809
Streaming media, Optical imaging, Network architecture, Face recognition, Feature extraction, Task analysis, Training, two-stream convolutional networks BibRef

Li, Y., Kanemura, A., Asoh, H., Miyanishi, T., Kawanabe, M.,
Extracting key frames from first-person videos in the common space of multiple sensors,
ICIP17(3993-3997)
IEEE DOI 1803
Entropy, Feature extraction, Optimization, Sensors, Sparse matrices, Videos, Visualization, Video summarization, sparse estimation BibRef

Valognes, J., Amer, M.A., Dastjerdi, N.S.,
Effective keyframe extraction from RGB and RGB-D video sequences,
IPTA17(1-5)
IEEE DOI 1804
feature extraction, image colour analysis, image motion analysis, image sequences, video signal processing, Euclidean distance, MSE, keyframe extraction BibRef

Mizher, M.A.A.[Manar Abduljabbar Ahmad], Ang, M.C.[Mei Choo], Abdullah, S.N.H.S.[Siti Norul Huda Sheikh], Ng, K.W.[Kok Weng],
Action Key Frames Extraction Using L1-Norm and Accumulative Optical Flow for Compact Video Shot Summarisation,
IVIC17(364-375).
Springer DOI 1711
BibRef

Kulhare, S., Sah, S., Pillai, S., Ptucha, R.,
Key frame extraction for salient activity recognition,
ICPR16(835-840)
IEEE DOI 1705
Activity recognition, Feature extraction, Image color analysis, Machine learning, Optical imaging, Streaming, media BibRef

Gharbi, H.[Hana], Massaoudi, M.[Mohamed], Bahroun, S.[Sahbi], Zagrouba, E.[Ezzeddine],
Key Frames Extraction Based on Local Features for Efficient Video Summarization,
ACIVS16(275-285).
Springer DOI 1611
BibRef

Chakraborty, S.[Shayok], Tickoo, O.[Omesh], Iyer, R.[Ravi],
Adaptive Keyframe Selection for Video Summarization,
WACV15(702-709)
IEEE DOI 1503
Cameras BibRef

Gan, C.[Chuang], Wang, N.[Naiyan], Yang, Y.[Yi], Yeung, D.Y.[Dit-Yan], Hauptmann, A.G.[Alexander G.],
DevNet: A Deep Event Network for multimedia event detection and evidence recounting,
CVPR15(2568-2577)
IEEE DOI 1510
BibRef

Mei, S.H.[Shao-Hui], Guan, G.[Genliang], Wang, Z.Y.[Zhi-Yong], He, M.Y.[Ming-Yi], Wan, S.[Shuai], Feng, D.D.[David Dagan],
Iterative keyframe selection by orthogonal subspace projection,
ICIP14(2874-2878)
IEEE DOI 1502
Clustering algorithms BibRef

Kapoor, A., Biswas, K.K., Hanmandlu, M.,
Fuzzy video summarization using key frame extraction,
NCVPRIPG13(1-5)
IEEE DOI 1408
data compression BibRef

Sentinelli, A.[Alexandro], Celetto, L.[Luca],
Live Key Frame Extraction in User Generated Content Scenarios for Embedded Mobile Platforms,
MMMod14(I: 291-302).
Springer DOI 1405
BibRef

Panagiotakis, C.[Costas], Fragopoulou, P.[Paraskevi],
Voting Clustering and Key Points Selection,
CAIP13(441-448).
Springer DOI 1308
BibRef

Xu, Q.[Qing], Li, X.[Xiu], Yang, Z.[Zhen], Wang, J.[Jie], Sbert, M.[Mateu], Li, J.[Jianfu],
Key frame selection based on Jensen-Rényi divergence,
ICPR12(1892-1895).
WWW Link. 1302
BibRef

Wang, Y.[Yue], Hou, Z.[Zujun], Chang, R.[Richard], Chua, T.W.[Teck Wee],
Near-Duplicate keyframe identification based on color and affine invariant features,
ICIP12(2361-2364).
IEEE DOI 1302
BibRef

Girgensohn, A.[Andreas], Shipman, F.[Frank], Wilcox, L.D.[Lynn D.],
Adaptive clustering and interactive visualizations to support the selection of video clips,
ICMR11(34).
DOI Link 1301
extract a still from the video or a short clip BibRef

Ventura, C.[Carles], Martos, M.[Manel], Giró-i-Nieto, X.[Xavier], Vilaplana, V.[Verónica], Marqués, F.[Ferran],
Hierarchical Navigation and Visual Search for Video Keyframe Retrieval,
MMMod12(652-654).
Springer DOI 1201
BibRef

Taschwer, M.[Mario],
A Key-Frame-Oriented Video Browser,
MMMod12(655-657).
Springer DOI 1201
BibRef

Li, P.[Ping], Guo, Y.[Yanwen], Sun, H.Q.[Han-Qiu],
Multi-keyframe abstraction from videos,
ICIP11(2473-2476).
IEEE DOI 1201
BibRef

Padmakala, S., Anandha Mala, G.S., Shalini, M.,
An effective content based video retrieval utilizing texture, color and optimal key frame features,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Zhao, Y.B.[Yi-Biao], Duan, Y.B.[Yan-Biao], Nie, X.H.[Xiao-Han], Huang, Y.P.[Ya-Ping], Luo, S.W.[Si-Wei],
Experts-Shift: Learning active spatial classification experts for keyframe-based video segmentation,
WMVC11(622-627).
IEEE DOI 1101
BibRef

Cirakman, O.[Ozgun], Gunsel, B.[Bilge], Sengor, N.S.[N.Serap], Gursoy, O.[Ozan],
Key-frame based video fingerprinting by NMF,
ICIP10(2373-2376).
IEEE DOI 1009
BibRef

Wu, X.[Xiao], Zhao, W.L.[Wan-Lei], Ngo, C.W.[Chong-Wah],
Near-duplicate keyframe retrieval with visual keywords and semantic context,
CIVR07(162-169).
DOI Link 0707
BibRef

Zheng, Y.T.[Yan-Tao], Neo, S.Y.[Shi-Yong], Chua, T.S.[Tat-Seng], Tian, Q.[Qi],
The use of temporal, semantic and visual partitioning model for efficient near-duplicate keyframe detection in large scale news corpus,
CIVR07(409-416).
DOI Link 0707
BibRef

Alaoui, E.M.I.[E.M. Ismaili], Mendez, A., Ibn-Elhaj, E., Garcia, B.,
Keyframes detection and analysis in vocal folds recordings using hierarchical motion techniques and texture information,
ICIP09(653-656).
IEEE DOI 0911
BibRef

Browne, P., Smeaton, A.F.,
Video Retrieval Using Dialogue, Keyframe Similarity and Video Objects,
ICIP05(III: 1208-1211).
IEEE DOI 0512
BibRef

Zhao, Z.P.[Zhi-Peng], Elgammal, A.M.[Ahmed M.],
Information Theoretic Key Frame Selection for Action Recognition,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Onder, O.[Onur], Gudukbay, U.[Ugur], Ozguc, B.[Bulent], Erdem, A.T.[A. Tanju], Erdem, C.E.[Cigdem E.], Ozkan, M.K.[Mehmet K.],
Keyframe Reduction Techniques for Motion Capture Data,
3DTV08(293-296).
IEEE DOI 0805
BibRef

Jun, J.B.[Jae-Bum], Lee, S.Y.[Sun-Young], He, Z.M.[Zan-Ming], Lee, M.J.[Myung-Jung], Jang, E.S.[Euee S.],
Adaptive Key Frame Selection for Efficient Video Coding,
PSIVT07(853-866).
Springer DOI 0712
BibRef

Repko, J., Pollefeys, M.,
3D models from extended uncalibrated video sequences: Addressing key-frame selection and projective drift,
3DIM05(150-157).
IEEE DOI 0508
BibRef

Stich, T., Magnor, M.,
Keyframe Animation from Video,
ICIP06(2713-2716).
IEEE DOI 0610
BibRef

Ghosh, N., Bhanu, B.,
A Psychological Adaptive Model For Video Analysis,
ICPR06(IV: 346-349).
IEEE DOI 0609
Extract key frames, how many are enough. BibRef

Cuntoor, N.P.[Naresh P.], Chellappa, R.[Rama],
Key Frame-Based Activity Representation Using Antieigenvalues,
ACCV06(II:499-508).
Springer DOI 0601
BibRef

Fauvet, B.[Brigitte], Bouthemy, P.[Patrick], Gros, P.[Patrick], Spindler, F.[Fabien],
A Geometrical Key-Frame Selection Method Exploiting Dominant Motion Estimation in Video,
CIVR04(419-427).
Springer DOI 0505
BibRef

Thormählen, T.[Thorsten], Broszio, H.[Hellward], Weissenfeld, A.[Axel],
Keyframe Selection for Camera Motion and Structure Estimation from Multiple Views,
ECCV04(Vol I: 523-535).
Springer DOI 0405
BibRef

Loy, G., Sullivan, J., Carlsson, S.,
Pose-based clustering in action sequences,
HLK03(66-72).
IEEE Abstract. 0402
BibRef

Erol, B., Hull, J.J., Graham, J., Lee, D.S.[Dar-Shyang],
Prescient Paper: Multimedia Document Creation with Document Image Matching,
ICPR04(II: 675-678).
IEEE DOI 0409
BibRef

Hull, J.J., Erol, B., Graham, J., Lee, D.S.[Dar-Shyang],
Visualizing multimedia content on paper documents: components of key frame selection for video paper,
ICDAR03(389-392).
IEEE DOI 0311
BibRef

Taskiran, C.M.[Cuneyt M.], Pollak, I.[Ilya], Bouman, C.A.[Charles A.], Delp, E.J.[Edward J.],
Stochastic Models of Video Structure for Program Genre Detection,
VLBV03(84-92).
Springer DOI 0310
BibRef

Dalal, N., Horaud, R.,
Indexing key positions between multiple videos,
Motion02(65-71).
IEEE DOI 0303
BibRef

Amer, A., Dubois, E., Mitiche, A.,
Context-independent real-time event recognition: application to key-image extraction,
ICPR02(II: 945-948).
IEEE DOI 0211
BibRef

Lee, H.C.[Hun-Cheol], Kim, S.D.[Seong-Dae],
Rate-constrained key frame selection using iteration,
ICIP02(I: 928-931).
IEEE DOI 0210
BibRef

Pickering, M.J.[Marcus J.], Rüger, S.M.[Stefan M.], Sinclair, D.[David],
Video Retrieval by Feature Learning in Key Frames,
CIVR02(309-317).
Springer DOI 0208
BibRef

Sánchez, J.M.[Juan M.], Binefa, X.[Xavier],
Color Normalization for Appearance Based Recognition of Video Key-frames,
ICPR00(Vol I: 815-818).
IEEE DOI 0009
BibRef

Ouaret, M.[Mourad], DuFaux, F.[Frederic], Ebrahimi, T.[Touradj],
Fusion-based multiview distributed video coding,
VSSN06(139-144).
WWW Link. 0701

See also Motion Compensated Generic Coding of Video Based on Multiresolution Data Structure. BibRef

DuFaux, F.[Frédéric],
Key Frame Selection to Represent a Video,
ICIP00(Vol II: 275-278).
IEEE DOI 0008
BibRef

Campisi, P.[Patrizio], Neri, A.[Alessandro],
Synthetic Summaries of Video Sequences Using a Multiresolution Based Key Frame Selection Technique in a Perceptually Uniform Color Space,
ICIP00(Vol II: 299-302).
IEEE DOI 0008
BibRef

Kang, E.K.[Eung Kwan], Kim, S.J.[Sung Joo], Choi, J.S.[Jong Soo],
Video Retrieval based on Key Frame Extraction in Compressed Domain,
ICIP99(III:260-264).
IEEE DOI BibRef 9900

Eren, P.E.[P. Erhan], Tekalp, A.M.[A. Murat],
Keyframe-based Bi-Directional 2-D Mesh Representation for Video Object Tracking and Manipulation,
ICIP99(II:968-972).
IEEE DOI BibRef 9900

Zhuang, Y.T.[Yue-Ting], Rui, Y.[Yong], Huang, T.S., Mehrotra, S.,
Adaptive key frame extraction using unsupervised clustering,
ICIP98(I: 866-870).
IEEE DOI 9810
BibRef

Gresle, P.O.[Philippe O.], Huang, T.S.[Thomas S.],
Gisting of Video Documents: A Key Frames Selection Algorithm Using Relative Activity Measure,
Visual97(xx). BibRef 9700

Mitsunaga, T., Yokoyama, T., Totsuka, T.,
Key extraction by image differentiation,
ICIP95(II: 248-251).
IEEE DOI 9510
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Video Analysis -- Captions, Text, Video Text .

Last update:Mar 21, 2023 at 18:34:39