18.3.4.2 Video Semantic Object Segmentation

Chapter Contents (Back)
Motion, Detection. Motion Detection. Motion Segmentation. Sequences. Semantic Segmentation. Object Segmentation.
See also Semantic Segmentation, Label and Segment Together.

Jiang, J., Song, X.,
An Optimized Higher Order CRF for Automated Labeling and Segmentation of Video Objects,
CirSysVideo(26), No. 3, March 2016, pp. 506-516.
IEEE DOI 1603
Color BibRef

Czni, L.[Lszl], Rashad, M.[Metwally],
The use of IMUs for video object retrieval in lightweight devices,
JVCIR(48), No. 1, 2017, pp. 30-42.
Elsevier DOI 1708
BibRef
Earlier:
View centered video-based object recognition for lightweight devices,
WSSIP16(1-4)
IEEE DOI 1608
Video object retrieval. image recognition BibRef

Wang, Y.H.[Yu-Hang], Liu, J.[Jing], Li, Y.[Yong], Fu, J.[Jun], Xu, M.[Min], Lu, H.Q.[Han-Qing],
Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation,
PR(64), No. 1, 2017, pp. 437-445.
Elsevier DOI 1701
Semantic video segmentation BibRef

Zhang, Y.[Yu], Chen, X.W.[Xiao-Wu], Li, J.[Jia], Wang, C.[Chen], Xia, C.Q.[Chang-Qun], Li, J.[Jun],
Semantic Object Segmentation in Tagged Videos via Detection,
PAMI(40), No. 7, July 2018, pp. 1741-1754.
IEEE DOI 1806
Image segmentation, Motion segmentation, Object segmentation, Proposals, Semantics, Spatiotemporal phenomena, Videos, weakly supervised segmentation BibRef

Zhang, Y.[Yu], Chen, X.W.[Xiao-Wu], Li, J.[Jia], Teng, W.[Wei], Song, H.[Haokun],
Exploring Weakly Labeled Images for Video Object Segmentation With Submodular Proposal Selection,
IP(27), No. 9, September 2018, pp. 4245-4259.
IEEE DOI 1807
computer vision, data mining, image matching, image segmentation, learning (artificial intelligence), video signal processing, weakly labeled video BibRef

Zhang, Y.[Yu], Chen, X.W.[Xiao-Wu], Li, J.[Jia], Wang, C.[Chen], Xia, C.Q.[Chang-Qun],
Semantic object segmentation via detection in weakly labeled video,
CVPR15(3641-3649)
IEEE DOI 1510
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

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

Chen, X.[Xin], Wu, A.[Aming], Han, Y.[Yahong],
Capturing the spatio-temporal continuity for video semantic segmentation,
IET-IPR(13), No. 14, 12 December 2019, pp. 2813-2820.
DOI Link 1912
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

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

Zhang, G., Wong, H.C., Lo, S.L.,
Multi-Attention Network for Unsupervised Video Object Segmentation,
SPLetters(28), 2021, pp. 71-75.
IEEE DOI 2101
Logic gates, Object segmentation, Training, Task analysis, Semantics, Decoding, Visualization, Attention, deep networks, unsupervised video object segmentation BibRef

Zhuang, J.F.[Jia-Fan], Wang, Z.L.[Zi-Lei], Wang, B.K.[Bing-Ke],
Video Semantic Segmentation With Distortion-Aware Feature Correction,
CirSysVideo(31), No. 8, August 2021, pp. 3128-3139.
IEEE DOI 2108
Optical distortion, Image segmentation, Semantics, Optical imaging, Distortion, Optical propagation, Feature extraction, feature correction BibRef

Yuan, Y.C.[Yi-Chen], Wang, L.J.[Li-Jun], Wang, Y.[Yifan],
CSANet for Video Semantic Segmentation With Inter-Frame Mutual Learning,
SPLetters(28), 2021, pp. 1675-1679.
IEEE DOI 2109
Semantics, Feature extraction, Training, Optical sensors, Image segmentation, Convolution, Context modeling, mutual learning BibRef


Varghese, S.[Serin], Gujamagadi, S.[Sharat], Klingner, M.[Marvin], Kapoor, N.[Nikhil], Br, A.[Andreas], Schneider, J.D.[Jan David], Maag, K.[Kira], Schlicht, P.[Peter], Hger, F.[Fabian], Fingscheidt, T.[Tim],
An Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic Segmentation Networks,
SAIAD21(12-20)
IEEE DOI 2109
Training, Deep learning, Measurement, Image segmentation, Semantics, Video sequences, Neural networks BibRef

Lu, H.C.[Hong-Chao], Deng, Z.D.[Zhi-Dong],
A Boundary-aware Distillation Network for Compressed Video Semantic Segmentation,
ICPR21(5354-5359)
IEEE DOI 2105
Knowledge engineering, Motion segmentation, Semantics, Streaming media, Pattern recognition, Acceleration, Task analysis BibRef

Sellami, A.[Akrem], Tabbone, S.[Salvatore],
Video semantic segmentation using deep multi-view representation learning,
ICPR21(1-7)
IEEE DOI 2105
Deep learning, Correlation, Motion segmentation, Semantics, Training data, Object segmentation, Feature extraction, fully convolutional network 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

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

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

Marcu, A.[Alina], Licaret, V.[Vlad], Costea, D.[Dragos], Leordeanu, M.[Marius],
Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation,
ACCV20(I:537-552).
Springer DOI 2103
BibRef

Bujanca, M., Lujan, M., Lennox, B.,
FullFusion: A Framework for Semantic Reconstruction of Dynamic Scenes,
3D-Wild19(2168-2177)
IEEE DOI 2004
image colour analysis, image motion analysis, image reconstruction, image segmentation, mobile robots, dynamic SLAM 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

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

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

Jain, S.[Samvit], Gonzalez, J.E.[Joseph E.],
Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation,
VSeg18(IV:3-6).
Springer DOI 1905
BibRef

Zhu, Y.[Yi], Sapra, K.[Karan], Reda, F.A.[Fitsum A.], Shih, K.J.[Kevin J.], Newsam, S.[Shawn], Tao, A.[Andrew], Catanzaro, B.[Bryan],
Improving Semantic Segmentation via Video Propagation and Label Relaxation,
CVPR19(8848-8857).
IEEE DOI 2002
BibRef

Chandra, S., Couprie, C., Kokkinos, I.[Iasonas],
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation,
CVPR18(8915-8924)
IEEE DOI 1812
Image segmentation, Semantics, Task analysis, Linear systems, Inference algorithms, Prediction algorithms BibRef

Huang, P.Y.[Po-Yu], Hsu, W.T.[Wan-Ting], Chiu, C.Y.[Chun-Yueh], Wu, T.F.[Ting-Fan], Sun, M.[Min],
Efficient Uncertainty Estimation for Semantic Segmentation in Videos,
ECCV18(I: 536-552).
Springer DOI 1810
BibRef

Hong, S., Yeo, D., Kwak, S., Lee, H., Han, B.,
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos,
CVPR17(2224-2232)
IEEE DOI 1711
Decoding, Image segmentation, Motion segmentation, Optimization, Semantics, Videos BibRef

Mahasseni, B., Todorovic, S., Fern, A.,
Budget-Aware Deep Semantic Video Segmentation,
CVPR17(2077-2086)
IEEE DOI 1711
Computer architecture, Feature extraction, Interpolation, Labeling, Runtime, Semantics, Training BibRef

He, Y.[Yang], Chiu, W.C., Keuper, M.[Margret], Fritz, M.[Mario],
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling,
CVPR17(7158-7167)
IEEE DOI 1711
Image segmentation, Indexes, Optical imaging, Semantics, Training, Videos BibRef

Kundu, A.[Abhijit], Vineet, V.[Vibhav], Koltun, V.[Vladlen],
Feature Space Optimization for Semantic Video Segmentation,
CVPR16(3168-3175)
IEEE DOI 1612
BibRef

Wang, H.L.[Hui-Ling], Raiko, T.[Tapani], Lensu, L.[Lasse], Wang, T.H.[Ting-Huai], Karhunen, J.[Juha],
Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation,
ACCV16(I: 163-179).
Springer DOI 1704
BibRef

Mustikovela, S.K.[Siva Karthik], Yang, M.Y.[Michael Ying], Rother, C.[Carsten],
Can Ground Truth Label Propagation from Video Help Semantic Segmentation?,
VSeg16(III: 804-820).
Springer DOI 1611
BibRef

Zheng, S.[Shuai], Cheng, M.M.[Ming-Ming], Warrell, J.[Jonathan], Sturgess, P.[Paul], Vineet, V.[Vibhav], Rother, C.[Carsten], Torr, P.H.S.[Philip H.S.],
Dense Semantic Image Segmentation with Objects and Attributes,
CVPR14(3214-3221)
IEEE DOI 1409
Attributes; Image Segmentation; Object Recognition; Scene Understanding BibRef

Jain, A.[Aastha], Chatterjee, S.[Shuanak], Vidal, R.[Rene],
Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees,
ICCV13(1865-1872)
IEEE DOI 1403
Image segmentation BibRef

Dunlop, H.[Heather],
Scene classification of images and video via semantic segmentation,
POCV10(72-79).
IEEE DOI 1006
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:Oct 24, 2021 at 16:35:58