18.3.4.1 Video Object Segmentation

Chapter Contents (Back)
Motion, Segmentation. Segmentation, Motion. Object Segmentation. Video Segmentation.
See also Detection of Moving Objects from Image Sequences or Video.

Qi, B.[Bin], Ghazal, M.[Mohammed], Amer, A.[Aishy],
Robust Global Motion Estimation Oriented to Video Object Segmentation,
IP(17), No. 6, June 2008, pp. 958-967.
IEEE DOI 0711
BibRef
Earlier: A1, A3, Only:
Robust and Fast Global Motion Estimation Oriented to Video Object Segmentation,
ICIP05(I: 153-156).
IEEE DOI 0512
BibRef

Yang, J., Price, B., Shen, X., Lin, Z., Yuan, J.,
Fast Appearance Modeling for Automatic Primary Video Object Segmentation,
IP(25), No. 2, February 2016, pp. 503-515.
IEEE DOI 1601
Adaptation models BibRef

Koh, Y.J., Kim, C.S.,
Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling With Reliable Object Proposals,
IP(26), No. 11, November 2017, pp. 5203-5216.
IEEE DOI 1709
BibRef
And:
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction,
CVPR17(7417-7425)
IEEE DOI 1711
Color, Motion segmentation, Object segmentation, Proposals, Target tracking, Video sequences, Videos. POD algorithm, evolutionary primary object modeling technique, foreground confidence, motion-based object proposals, BibRef

Koh, Y.J., Kim, C.S.,
CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos,
ICCV17(3621-3629)
IEEE DOI 1802
image segmentation, image sequences, object detection, object tracking, video signal processing, CDTS, Videos BibRef

Jang, W.D.[Won-Dong], Kim, C.S.[Chang-Su],
Semi-supervised Video Object Segmentation Using Multiple Random Walkers,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Koh, Y.J.[Yeong Jun], Lee, Y.Y.[Young-Yoon], Kim, C.S.[Chang-Su],
Sequential Clique Optimization for Video Object Segmentation,
ECCV18(XIV: 537-556).
Springer DOI 1810
BibRef

Koh, Y.J., Jang, W.D.[Won-Dong], Kim, C.S.[Chang-Su],
POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models,
CVPR16(1068-1076)
IEEE DOI 1612
BibRef

Jang, W.D.[Won-Dong], Kim, C.S.[Chang-Su],
Online Video Object Segmentation via Convolutional Trident Network,
CVPR17(7474-7483)
IEEE DOI 1711
Decoding, Feature extraction, Image segmentation, Motion segmentation, Object segmentation, Streaming media, Target, tracking BibRef

Lee, S.H., Jang, W.D.[Won-Dong], Kim, C.S.[Chang-Su],
Contour-Constrained Superpixels for Image and Video Processing,
CVPR17(5863-5871)
IEEE DOI 1711
Cost function, Image color analysis, Image segmentation, Labeling, Linear programming, Pattern, matching BibRef

Jang, W.D.[Won-Dong], Lee, C., Kim, C.S.[Chang-Su],
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions,
CVPR16(696-704)
IEEE DOI 1612
BibRef

Jang, W.D.[Won-Dong], Kim, C.S.[Chang-Su],
Streaming Video Segmentation via Short-Term Hierarchical Segmentation and Frame-by-Frame Markov Random Field Optimization,
ECCV16(VI: 599-615).
Springer DOI 1611
BibRef

Liu, Z., Wang, L., Hua, G., Zhang, Q., Niu, Z., Wu, Y., Zheng, N.,
Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks,
IP(27), No. 12, December 2018, pp. 5840-5853.
IEEE DOI 1810
Object segmentation, Noise measurement, Proposals, Markov random fields, Task analysis, Probabilistic logic, probabilistic graphical model BibRef

Bhatti, A.H.[Asma Hamza], Rahman, A.U.[Anis Ur], Butt, A.A.[Asad Anwar],
Unsupervised video object segmentation using conditional random fields,
SIViP(13), No. 1, February 2019, pp. 9-16.
WWW Link. 1901
BibRef
Earlier:
Video segmentation using spectral clustering on superpixels,
ICIP16(869-873)
IEEE DOI 1610
Color BibRef

Zhang, Y.H.[Yin-Hui], He, Z.F.[Zi-Fen],
Agnostic attribute segmentation of dynamic scenes with limited spatio-temporal resolution,
PR(91), 2019, pp. 261-271.
Elsevier DOI 1904
Video object segmentation, Conditional random field, Class-agnostic, Semantic space, Spatio-temporal resolution BibRef

Lezki, H.[Hazal], Ozturk, I.A.[I. Ahu], Akpinar, M.A.[M. Akif], Yucel, M.K.[M. Kerim], Logoglu, K.B.[K. Berker], Erdem, A.[Aykut], Erdem, E.[Erkut],
Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones,
CVUAV18(II:100-116).
Springer DOI 1905
BibRef

Chen, Y., Hao, C., Liu, A.X., Wu, E.,
Multilevel Model for Video Object Segmentation Based on Supervision Optimization,
MultMed(21), No. 8, August 2019, pp. 1934-1945.
IEEE DOI 1908
image motion analysis, image resolution, image segmentation, optimisation, video signal processing, appearance, motion clues, semantic classification BibRef

Gu, S.[Song], Wang, J.[Jian], Du, Y.J.[Ying-Jie], Zhang, W.R.[Wei-Rui], Hao, W.[Wei], Zhou, D.M.[Dong-Mei],
Online video object segmentation via LRS representation,
IET-CV(13), No. 5, August 2019, pp. 469-479.
DOI Link 1908
BibRef

Chacon-Murguia, M.I.[Mario I.], Guzman-Pando, A.[Abimael], Ramirez-Alonso, G.[Graciela], Ramirez-Quintana, J.A.[Juan A.],
A novel instrument to compare dynamic object detection algorithms,
IVC(88), 2019, pp. 19-28.
Elsevier DOI 1908
Evaluation, Motion Segmentation. Analysis of Video object detection. Dynamic object detection, Algorithm methodology comparison, Video analysis BibRef

Zhuo, T., Cheng, Z., Zhang, P., Wong, Y., Kankanhalli, M.,
Unsupervised Online Video Object Segmentation With Motion Property Understanding,
IP(29), No. 1, 2020, pp. 237-249.
IEEE DOI 1910
image denoising, image fusion, image motion analysis, image segmentation, object detection, unsupervised learning, video understanding BibRef

Chen, Y.W.[Yi-Wen], Tsai, Y.H.[Yi-Hsuan], Lin, Y.Y.[Yen-Yu], Yang, M.H.[Ming-Hsuan],
VOSTR: Video Object Segmentation via Transferable Representations,
IJCV(128), No. 4, April 2020, pp. 931-949.
Springer DOI 2004
BibRef

Chen, Y.W.[Yi-Wen], Tsai, Y.H.[Yi-Hsuan], Yang, C.Y.[Chu-Ya], Lin, Y.Y.[Yen-Yu], Yang, M.H.[Ming-Hsuan],
Unseen Object Segmentation in Videos via Transferable Representations,
ACCV18(IV:615-631).
Springer DOI 1906
BibRef

Wu, J.[Junrong], Wen, Z.[Zongzheng], Zhao, S.[Sanyuan], Huang, K.[Kele],
Video semantic segmentation via feature propagation with holistic attention,
PR(104), 2020, pp. 107268.
Elsevier DOI 2005
Real-time, Attention mechanism, Feature propagation, Video semantic segmentation BibRef

Ammar, S.[Sirine], Bouwmans, T.[Thierry], Zaghden, N.[Nizar], Neji, M.[Mahmoud],
Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance,
IET-IPR(14), No. 8, 19 June 2020, pp. 1490-1501.
DOI Link 2005
BibRef

Tian, Y.[Yan], Cheng, G.[Guohua], Gelernter, J.[Judith], Yu, S.[Shihao], Song, C.[Chao], Yang, B.[Bailin],
Joint temporal context exploitation and active learning for video segmentation,
PR(100), 2020, pp. 107158.
Elsevier DOI 2005
Video segmentation, Deep learning, Computer vision BibRef

Chen, Z., Guo, C., Lai, J., Xie, X.,
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos,
CirSysVideo(30), No. 6, June 2020, pp. 1613-1624.
IEEE DOI 2006
Videos, Ice, Object segmentation, Encoding, Motion segmentation, Trajectory, Decoding, Video object segmentation, interactively constrained encoding BibRef

Sun, M.J.[Ming-Jie], Xiao, J.M.[Ji-Min], Lim, E.G.[Eng Gee], Xie, Y.C.[Yan-Chun], Feng, J.S.[Jia-Shi],
Adaptive ROI generation for video object segmentation using reinforcement learning,
PR(106), 2020, pp. 107465.
Elsevier DOI 2006
Model adaptation, Video object segmentation, Reinforcement learning, Training accelerate BibRef

Hu, P.[Ping], Wang, G.[Gang], Kong, X.F.[Xiang-Fei], Kuen, J.[Jason], Tan, Y.P.[Yap-Peng],
Motion-Guided Cascaded Refinement Network for Video Object Segmentation,
PAMI(42), No. 8, August 2020, pp. 1957-1967.
IEEE DOI 2007
BibRef
Earlier: CVPR18(1400-1409)
IEEE DOI 1812
Motion segmentation, Active contours, Optical imaging, Image segmentation, Optical propagation, Task analysis, spatial-temporal embedding. Image segmentation, Optical sensors, Level set, Object segmentation BibRef

Yin, Y.J.[Ying-Jie], Xu, D.[De], Wang, X.G.[Xin-Gang], Zhang, L.[Lei],
AGUnet: Annotation-guided U-net for fast one-shot video object segmentation,
PR(110), 2021, pp. 107580.
Elsevier DOI 2011
Fully-convolutional Siamese network, U-net, Interactive image segmentation, Video object segmentation BibRef

Sharma, V.[Vipul], Mir, R.N.[Roohie Naaz],
SSFNET-VOS: Semantic segmentation and fusion network for video object segmentation,
PRL(140), 2020, pp. 49-58.
Elsevier DOI 2012
Multimedia processing, Video object segmentation, Unsupervised learning, Computer vision, Semantic segmentation BibRef

Gui, Y., Tian, Y., Zeng, D.J., Xie, Z.F., Cai, Y.Y.,
Reliable and Dynamic Appearance Modeling and Label Consistency Enforcing for Fast and Coherent Video Object Segmentation With the Bilateral Grid,
CirSysVideo(30), No. 12, December 2020, pp. 4781-4795.
IEEE DOI 2012
Motion segmentation, Object segmentation, Reliability, Video sequences, Color, Computational modeling, Proposals, video object segmentation BibRef

Guzman-Pando, A.[Abimael], Chacon-Murguia, M.I.[Mario Ignacio], Chacon-Diaz, L.B.[Lucia B.],
Human-like evaluation method for object motion detection algorithms,
IET-CV(14), No. 8, December 2020, pp. 674-682.
DOI Link 2012
BibRef

Tan, Z.T.[Zhen-Tao], Liu, B.[Bin], Chu, Q.[Qi], Zhong, H.S.[Hang-Shi], Wu, Y.[Yue], Li, W.H.[Wei-Hai], Yu, N.H.[Neng-Hai],
Real Time Video Object Segmentation in Compressed Domain,
CirSysVideo(31), No. 1, January 2021, pp. 175-188.
IEEE DOI 2101
Feature extraction, Object segmentation, Motion segmentation, Real-time systems, Task analysis, Optical imaging, feature matching BibRef


Chen, B.[Bowen], Ling, H.[Huan], Zeng, X.H.[Xiao-Hui], Gao, J.[Jun], Xu, Z.[Ziyue], Fidler, S.[Sanja],
Scribblebox: Interactive Annotation Framework for Video Object Segmentation,
ECCV20(XIII:293-310).
Springer DOI 2011
BibRef

Seong, H.J.[Hong-Je], Hyun, J.[Junhyuk], Kim, E.T.[Eun-Tai],
Kernelized Memory Network for Video Object Segmentation,
ECCV20(XXII:629-645).
Springer DOI 2011
BibRef

Zhen, M.M.[Ming-Min], Li, S.W.[Shi-Wei], Zhou, L.[Lei], Shang, J.X.[Jia-Xiang], Feng, H.A.[Hao-An], Fang, T.[Tian], Quan, L.[Long],
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation,
ECCV20(XXVII:445-462).
Springer DOI 2011
BibRef

Seo, S.[Seonguk], Lee, J.Y.[Joon-Young], Han, B.H.[Bo-Hyung],
Urvos: Unified Referring Video Object Segmentation Network with a Large-scale Benchmark,
ECCV20(XV:208-223).
Springer DOI 2011
BibRef

Li, Y., Chen, F., Yang, F., Li, Y., Jia, H., Xie, X.,
Fusion Target Attention Mask Generation Network For Video Segmentation,
ICIP20(2276-2280)
IEEE DOI 2011
Solid modeling, Object segmentation, Adaptation models, Training, Motion segmentation, Visualization, Convolution, loss function BibRef

Cho, S., Cho, M., Chung, T.y., Lee, H., Lee, S.,
CRVOS: Clue Refining Network For Video Object Segmentation,
ICIP20(2301-2305)
IEEE DOI 2011
Decoding, Object segmentation, Real-time systems, Streaming media, Deconvolution, Feature extraction, Convolution, Encoder-decoder architecture BibRef

Zhang, L.[Lu], Zhang, J.M.[Jian-Ming], Lin, Z.[Zhe], Mech, R.[Radomír], Lu, H.C.[Hu-Chuan], He, Y.[You],
Unsupervised Video Object Segmentation with Joint Hotspot Tracking,
ECCV20(XIV:490-506).
Springer DOI 2011
BibRef

Li, Y.[Yu], Shen, Z.[Zhuoran], Shan, Y.[Ying],
Fast Video Object Segmentation Using the Global Context Module,
ECCV20(X:735-750).
Springer DOI 2011
BibRef

Chen, Y., Cao, Y., Hu, H., Wang, L.,
Memory Enhanced Global-Local Aggregation for Video Object Detection,
CVPR20(10334-10343)
IEEE DOI 2008
Semantics, Object detection, Feature extraction, Detectors, Aggregates, Object recognition, Optical imaging BibRef

Zhang, Y., Wu, Z., Peng, H., Lin, S.,
A Transductive Approach for Video Object Segmentation,
CVPR20(6947-6956)
IEEE DOI 2008
Object segmentation, Task analysis, Video sequences, Computational modeling, History, Estimation, Data models BibRef

Patil, P.W., Biradar, K.M., Dudhane, A., Murala, S.,
An End-to-End Edge Aggregation Network for Moving Object Segmentation,
CVPR20(8146-8155)
IEEE DOI 2008
Videos, Feature extraction, Decoding, Object segmentation, Optical imaging, Task analysis, Visualization BibRef

Huang, X.H.[Xu-Hua], Xu, J.R.[Jia-Rui], Tai, Y.W.[Yu-Wing], Tang, C.K.[Chi-Keung],
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching,
CVPR20(8876-8886)
IEEE DOI 2008
Object segmentation, Pipelines, Benchmark testing, Semantics, Image segmentation, Task analysis, Feature extraction BibRef

Lu, X., Wang, W., Shen, J., Tai, Y., Crandall, D.J., Hoi, S.C.H.,
Learning Video Object Segmentation From Unlabeled Videos,
CVPR20(8957-8967)
IEEE DOI 2008
Semantics, Supervised learning, Visualization, Training, Data models, Object segmentation, Machine learning BibRef

Chen, X., Li, Z., Yuan, Y., Yu, G., Shen, J., Qi, D.,
State-Aware Tracker for Real-Time Video Object Segmentation,
CVPR20(9381-9390)
IEEE DOI 2008
Target tracking, Robustness, Task analysis, Pipelines, Object segmentation, State estimation, Video sequences BibRef

Hu, P., Caba, F., Wang, O., Lin, Z., Sclaroff, S., Perazzi, F.,
Temporally Distributed Networks for Fast Video Semantic Segmentation,
CVPR20(8815-8824)
IEEE DOI 2008
Feature extraction, Computational modeling, Image segmentation, Semantics, Aggregates, Encoding, Task analysis BibRef

Luiten, J., Zulfikar, I.E., Leibe, B.,
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking,
WACV20(1989-1998)
IEEE DOI 2006
Task analysis, Proposals, Object segmentation, Forestry, Motion segmentation, Visualization, Tracking BibRef

Yang, Z.[Zhao], Wang, Q.[Qiang], Bertinetto, L.[Luca], Bai, S.[Song], Hu, W.M.[Wei-Ming], Torr, P.H.S.[Philip H.S.],
Anchor Diffusion for Unsupervised Video Object Segmentation,
ICCV19(931-940)
IEEE DOI 2004
image segmentation, image sequences, learning (artificial intelligence), object detection, Task analysis BibRef

Wang, Q.[Qiang], He, Y.[Yi], Yang, X.Y.[Xiao-Yun], Yang, Z.[Zhao], Torr, P.H.S.[Philip H.S.],
An Empirical Study of Detection-Based Video Instance Segmentation,
YouTube-VOS19(713-716)
IEEE DOI 2004
image segmentation, object detection, object tracking, video signal processing, siamese tracker BibRef

Duarte, K., Rawat, Y., Shah, M.,
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing,
ICCV19(8479-8488)
IEEE DOI 2004
Code, Video Segmentation.
WWW Link. image motion analysis, image segmentation, image sequences, object tracking, video signal processing, CapsuleVOS, Computer architecture BibRef

Oh, S.W., Lee, J., Xu, N., Kim, S.J.,
Video Object Segmentation Using Space-Time Memory Networks,
ICCV19(9225-9234)
IEEE DOI 2004
image segmentation, learning (artificial intelligence), query processing, video signal processing, Benchmark testing BibRef

Yang, Z., Li, P., Feng, Q., Wei, Y., Yang, Y.,
Going Deeper Into Embedding Learning for Video Object Segmentation,
YouTube-VOS19(697-700)
IEEE DOI 2004
image motion analysis, image segmentation, learning (artificial intelligence), object detection, object recognition BibRef

Luiten, J., Voigtlaender, P., Leibe, B.,
Exploring the Combination of PReMVOS, BoLTVOS and UnOVOST for the 2019 YouTube-VOS Challenge,
YouTube-VOS19(705-708)
IEEE DOI 2004
image segmentation, object detection, object tracking, video signal processing, UnOVOST, segmentation BibRef

Griffin, B.A.[Brent A.], Corso, J.J.[Jason J.],
Learning Object Depth from Camera Motion and Video Object Segmentation,
ECCV20(VII:295-312).
Springer DOI 2011
BibRef
Earlier:
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames,
CVPR19(8906-8915).
IEEE DOI 2002
BibRef

Bhat, G.[Goutam], Järemo Lawin, F.[Felix], Danelljan, M.[Martin], Robinson, A.[Andreas], Felsberg, M.[Michael], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
Learning What to Learn for Video Object Segmentation,
ECCV20(II:777-794).
Springer DOI 2011
BibRef

Robinson, A., Järemo Lawin, F.[Felix], Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
Learning Fast and Robust Target Models for Video Object Segmentation,
CVPR20(7404-7413)
IEEE DOI 2008
Image segmentation, Robustness, Object segmentation, Adaptation models, Data models, Training, Target tracking BibRef

Chen, Y., Pont-Tuset, J., Montes, A., Van Gool, L.J.,
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning,
CVPR18(1189-1198)
IEEE DOI 1812
Object segmentation, Measurement, Task analysis, Adaptive optics, Feature extraction, Streaming media BibRef

Johnander, J.[Joakim], Danelljan, M.[Martin], Brissman, E.[Emil], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
A Generative Appearance Model for End-To-End Video Object Segmentation,
CVPR19(8945-8954).
IEEE DOI 2002
BibRef

Hu, Y.T.[Yuan-Ting], Chen, H.S.[Hong-Shuo], Hui, K.[Kexin], Huang, J.B.[Jia-Bin], Schwing, A.G.[Alexander G.],
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines,
CVPR19(3100-3110).
IEEE DOI 2002
BibRef

Ventura, C.[Carles], Bellver, M.[Miriam], Girbau, A.[Andreu], Salvador, A.[Amaia], Marques, F.[Ferran], Giro-i-Nieto, X.[Xavier],
RVOS: End-To-End Recurrent Network for Video Object Segmentation,
CVPR19(5272-5281).
IEEE DOI 2002
BibRef

Xu, S.J.[Shuang-Jie], Liu, D.Z.[Dai-Zong], Bao, L.C.[Lin-Chao], Liu, W.[Wei], Zhou, P.[Pan],
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation,
CVPR19(314-323).
IEEE DOI 2002
BibRef

Khoreva, A.[Anna], Rohrbach, A.[Anna], Schiele, B.[Bernt],
Video Object Segmentation with Language Referring Expressions,
ACCV18(IV:123-141).
Springer DOI 1906
BibRef
And:
Video Object Segmentation with Referring Expressions,
VSeg18(IV:7-12).
Springer DOI 1905
BibRef

Han, J., Yang, L., Zhang, D., Chang, X., Liang, X.,
Reinforcement Cutting-Agent Learning for Video Object Segmentation,
CVPR18(9080-9089)
IEEE DOI 1812
Object segmentation, Task analysis, Search problems, Computer vision, Decision making, Tracking BibRef

Li, Y., Shi, J., Lin, D.,
Low-Latency Video Semantic Segmentation,
CVPR18(5997-6005)
IEEE DOI 1812
Semantics, Image segmentation, Convolution, Kernel, Task analysis, Feeds, Streaming media BibRef

Xu, Y., Fu, T., Yang, H., Lee, C.,
Dynamic Video Segmentation Network,
CVPR18(6556-6565)
IEEE DOI 1812
Semantics, Image segmentation, Feature extraction, Computer architecture, Video sequences, Acceleration, Adaptive scheduling BibRef

Xiao, H., Feng, J., Lin, G., Liu, Y., Zhang, M.,
MoNet: Deep Motion Exploitation for Video Object Segmentation,
CVPR18(1140-1148)
IEEE DOI 1812
Motion segmentation, Feature extraction, Transforms, Optical imaging, Optical network units, Object segmentation, Optical propagation BibRef

Nilsson, D., Sminchisescu, C.,
Semantic Video Segmentation by Gated Recurrent Flow Propagation,
CVPR18(6819-6828)
IEEE DOI 1812
Semantics, Logic gates, Optical network units, Image segmentation, Adaptation models, Computer architecture, Motion segmentation BibRef

Sokeh, H.S., Argyriou, V., Monekosso, D., Remagnino, P.,
Superframes, A Temporal Video Segmentation,
ICPR18(566-571)
IEEE DOI 1812
Clustering algorithms, Motion segmentation, Histograms, Databases, Image segmentation, Optical imaging, Video sequences BibRef

Xu, J., Song, L., Xie, R.,
Two-stream deep encoder-decoder architecture for fully automatic video object segmentation,
VCIP17(1-4)
IEEE DOI 1804
image segmentation, image sequences, learning (artificial intelligence), video signal processing, motion segmentation BibRef

Sun, L.[Lu], Décombas, M.[Marc], Lang, J.[Jochen],
Video Object Segmentation for Content-Aware Video Compression,
CRV16(116-123)
IEEE DOI 1612
BibRef

Bosch, M.[Marc], Li, G.[Guiqin], Wang, K.[Kai],
A two-stage video object segmentation using motion and color information,
ICIP15(3916-3920)
IEEE DOI 1512
object segmentation; video segmentation; video summary BibRef

Wu, Z.Y.[Zheng-Yang], Li, F.[Fuxin], Sukthankar, R.[Rahul], Rehg, J.M.[James M.],
Robust video segment proposals with painless occlusion handling,
CVPR15(4194-4203)
IEEE DOI 1510
BibRef

Fragkiadaki, K.[Katerina], Arbelaez, P.[Pablo], Felsen, P.[Panna], Malik, J.[Jitendra],
Learning to segment moving objects in videos,
CVPR15(4083-4090)
IEEE DOI 1510
BibRef

Pu, S.T.[Song-Tao], Zha, H.B.[Hong-Bin],
Streaming video object segmentation with the adaptive coherence factor,
ICIP13(4235-4238)
IEEE DOI 1402
Video object segmentation BibRef

Meuel, H.[Holger], Reso, M.[Matthias], Jachalsky, J.[Jorn], Ostermann, J.[Jorn],
Superpixel-based segmentation of moving objects for low bitrate ROI coding systems,
AVSS13(395-400)
IEEE DOI 1311
Bandwidth BibRef

Zhang, D.[Dong], Javed, O.[Omar], Shah, M.[Mubarak],
Video Object Co-segmentation by Regulated Maximum Weight Cliques,
ECCV14(VII: 551-566).
Springer DOI 1408
BibRef
Earlier:
Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions,
CVPR13(628-635)
IEEE DOI 1309
Computer Vision; Object Segmentation; Video Segmentation BibRef

Xiang, X.[Xiang], Chang, H.[Hong], Luo, J.B.[Jie-Bo],
Online Web-Data-Driven Segmentation of Selected Moving Objects in Videos,
ACCV12(II:134-146).
Springer DOI 1304
BibRef

Ellis, L.[Liam], Zografos, V.[Vasileios],
Online Learning for Fast Segmentation of Moving Objects,
ACCV12(II:52-65).
Springer DOI 1304
BibRef

Di, X.F.[Xiao-Fei], Chang, H.[Hong], Chen, X.L.[Xi-Lin],
Multi-layer Spectral Clustering for Video Segmentation,
ACCV12(II:1-12).
Springer DOI 1304
BibRef

Xiong, H.[Hao], Wang, Z.Y.[Zhi-Yong], He, R.J.[Ren-Jie], Feng, D.D.,
Video Object Segmentation with Occlusion Map,
DICTA12(1-7).
IEEE DOI 1303
BibRef

Ma, T.Y.[Tian-Yang], Latecki, L.J.[Longin Jan],
Maximum weight cliques with mutex constraints for video object segmentation,
CVPR12(670-677).
IEEE DOI 1208
BibRef

García, A.[Alvaro], Bescós, J.[Jesús],
Video Object Segmentation Based on Feedback Schemes Guided by a Low-Level Scene Ontology,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Mármol, S.B.L.[Salvador B. López], Artner, N.M.[Nicole M.], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.], Beleznai, C.[Csaba],
Video Object Segmentation Using Graphs,
CIARP08(733-740).
Springer DOI 0809
BibRef

Marchadier, J.[Jocelyn], Kropatsch, W.G.[Walter G.], Hanbury, A.[Allan],
The Redundancy Pyramid and Its Application to Segmentation on an Image Sequence,
DAGM04(432-439).
Springer DOI 0505
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Segmentation, Neural Networks, Learning .


Last update:Jan 14, 2021 at 15:31:42