19.3.4.14 Motion Segmentation, Object Extraction in Compressed Domains

Chapter Contents (Back)
Motion, Segmentation. Motion Segmentation. E.g. MPEG Domain

Kim, B.C.[Beung-Chan], Park, R.H.[Rae-Hong],
A fast automatic VOP generation using boundary block segmentation,
RealTimeImg(10), No. 2, April 2004, pp. 117-125.
Elsevier DOI 0405
MPEG -- Video Object Plane. Each moving object is a VOP. BibRef

Babu, R.V., Ramakrishnan, K.R., Srinivasan, S.H.,
Video Object Segmentation: A Compressed Domain Approach,
CirSysVideo(14), No. 4, April 2004, pp. 462-474.
IEEE Abstract. 0407
Use only MPEG motion vectors for object segmentation. BibRef

Töreyin, B.U.[B. Ugur], Çetin, A.E.[A. Enis], Aksay, A.[Anil], Akhan, M.B.[M. Bilgay],
Moving object detection in wavelet compressed video,
SP:IC(20), No. 3, March 2005, pp. 255-264.
Elsevier DOI 0501
BibRef

Liu, Z.[Zhi], Lu, Y.[Yu], Zhang, Z.Y.[Zhao-Yang],
Real-time spatiotemporal segmentation of video objects in the H.264 compressed domain,
JVCIR(18), No. 3, June 2007, pp. 275-290.
Elsevier DOI 0711
Compressed domain segmentation, Video object segmentation, H.264; Real-time segmentation, Spatiotemporal segmentation BibRef

Mak, C.M., Cham, W.K.,
Real-time video object segmentation in H.264 compressed domain,
IET-IPR(3), No. 5, October 2009, pp. 272-285.
DOI Link 0911
BibRef

Fei, W., Zhu, S.,
Mean shift clustering-based moving object segmentation in the H.264 compressed domain,
IET-IPR(4), No. 1, February 2010, pp. 11-18.
DOI Link 1002
BibRef

Porikli, F.M., Bashir, F., Sun, H.F.[Hui-Fang],
Compressed Domain Video Object Segmentation,
CirSysVideo(20), No. 1, January 2010, pp. 2-14.
IEEE DOI 1002
BibRef

Sabirin, M.S.H.[M. S. Houari], Kim, M.C.[Mun-Churl],
Moving Object Detection and Tracking Using a Spatio-Temporal Graph in H.264/AVC Bitstreams for Video Surveillance,
MultMed(14), No. 3, 2012, pp. 657-668.
IEEE DOI 1202
BibRef

You, W.S.[Won-Sang], Sabirin, M.S.H.[M.S. Houari], Kim, M.C.[Mun-Churl],
Moving Object Tracking in H.264/AVC Bitstream,
MCAM07(483-492).
Springer DOI 0706
BibRef

Zhong, R., Hu, R., Wang, Z., Wang, S.,
Fast Synopsis for Moving Objects Using Compressed Video,
SPLetters(21), No. 7, July 2014, pp. 834-838.
IEEE DOI 1405
Algorithm design and analysis BibRef

Zhao, L., He, Z., Cao, W., Zhao, D.,
Real-Time Moving Object Segmentation and Classification From HEVC Compressed Surveillance Video,
CirSysVideo(28), No. 6, June 2018, pp. 1346-1357.
IEEE DOI 1806
Encoding, Feature extraction, Motion segmentation, Object segmentation, Streaming media, Syntactics, Tracking, video surveillance BibRef

Tom, A.J., George, S.N.,
Video Completion and Simultaneous Moving Object Detection for Extreme Surveillance Environments,
SPLetters(26), No. 4, April 2019, pp. 577-581.
IEEE DOI 1903
TV, Surveillance, Minimization, Video sequences, Object detection, Cleaning, Tensor low rank approximation, moving object detection, half thresholding BibRef

Tom, A.J., George, S.N.,
Simultaneous Reconstruction and Moving Object Detection From Compressive Sampled Surveillance Videos,
IP(29), 2020, pp. 7590-7602.
IEEE DOI 2007
Low rank approximation, 3D anisotropic total variation, moving object detection, compressed sensing BibRef

Alizadeh, M., Sharifkhani, M.,
Compressed Domain Moving Object Detection Based on CRF,
CirSysVideo(30), No. 3, March 2020, pp. 674-684.
IEEE DOI 2003
Standards, Feature extraction, Encoding, Video sequences, Object detection, Complexity theory, Data mining, moving object 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

Wang, X.G.[Xing-Gang], Huang, Z.J.[Zhao-Jin], Liao, B.C.[Ben-Cheng], Huang, L.C.[Li-Chao], Gong, Y.C.[Yong-Chao], Huang, C.[Chang],
Real-time and accurate object detection in compressed video by long short-term feature aggregation,
CVIU(206), 2021, pp. 103188.
Elsevier DOI 2104
BibRef


Xu, K.[Kai], Yao, A.[Angela],
Accelerating Video Object Segmentation with Compressed Video,
CVPR22(1332-1341)
IEEE DOI 2210
Analytical models, Tracking, Shape, Motion segmentation, Computational modeling, Redundancy, Segmentation, Video analysis and understanding BibRef

Bethi, Y.R.T.[Yeshwanth Ravi Theja], Narayanan, S.[Sathyaprakash], Rangan, V.[Venkat], Chakraborty, A.[Anirban], Thakur, C.S.[Chetan Singh],
Real-Time Object Detection and Localization in Compressive Sensed Video,
ICIP21(1489-1493)
IEEE DOI 2201
Location awareness, Image coding, Memory management, Object detection, Streaming media, Cameras, Real-time systems, Compressive Sensing BibRef

Miao, D.[Deshui], Li, X.[Xin], He, Z.Y.[Zhen-Yu], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Spatial-temporal Multi-level Association for Video Object Segmentation,
ECCV24(LXVII: 91-107).
Springer DOI 2412
BibRef

Yao, C.H.[Chun-Han], Fang, C.[Chen], Shen, X.H.[Xiao-Hui], Wan, Y.Y.[Yang-Yue], Yang, M.H.[Ming-Hsuan],
Video Object Detection via Object-level Temporal Aggregation,
ECCV20(XIV:160-177).
Springer DOI 2011
BibRef

Zheng, H.[He], Li, X.[Xin], Liu, F.L.[Fang-Long], Jiang, L.L.[Lie-Lin], Zhang, Q.[Qi], Li, F.[Fu], Dang, Q.Q.[Qing-Qing], He, D.L.[Dong-Liang],
Adaptive Spatial-Temporal Fusion of Multi-Objective Networks for Compressed Video Perceptual Enhancement,
NTIRE21(268-275)
IEEE DOI 2109
Training, Adaptation models, Adaptive systems, Fuses 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

Rengarajan, V.[Vijay], Rajagopalan, A.N., Aravind, R.,
Motion Estimation and Classification in Compressive Sensing from Dynamic Measurements,
ICPR14(3475-3480)
IEEE DOI 1412
Cameras BibRef

Zhang, S.H.[Shang-Hang], Wei, K.J.[Kai-Jin], Jia, H.Z.[Hui-Zhu], Xie, X.D.[Xiao-Dong], Gao, W.[Wen],
An efficient foreground-based surveillance video coding scheme in low bit-rate compression,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Wang, F.P.[Fu-Ping], Chung, W.H.[Wei-Ho], Ni, G.K.[Guo-Kai], Chen, I.Y.[Ing-Yi], Kuo, S.Y.[Sy-Yen],
Moving Object Extraction Using Compressed Domain Features of H.264 INTRA Frames,
AVSS12(258-263).
IEEE DOI 1211
BibRef

Abbate, M.[Maurizio], d'Elia, C.[Ciro], Mariano, P.[Paola],
A Low Complexity Motion Segmentation Based on Semantic Representation of Encoded Video Streams,
CIAP11(II: 209-218).
Springer DOI 1109
BibRef

Yokoyama, T.[Takanori], Watanabe, T.[Toshinori],
Noisy Motion Vector Elimination by Bi-directional Vector-Based Zero Comparison,
VS10(104-112).
Springer DOI 1109
BibRef

Yokoyama, T.[Takanori], Ota, S.[Shuhei], Watanabe, T.[Toshinori],
Noisy MPEG Motion Vector Reduction for Motion Analysis,
AVSBS09(274-279).
IEEE DOI 0909
BibRef

Niu, C.F.[Chang-Feng], Liu, Y.S.[Yu-Shu],
Moving Object Segmentation in the H.264 Compressed Domain,
ACCV09(II: 645-654).
Springer DOI 0909
BibRef
And:
Moving Object Segmentation Based on Video Coding Information in H.264 Compressed Domain,
CISP09(1-5).
IEEE DOI 0910
BibRef

Thayananthan, A.[Arasanathan], Iwasaki, M.[Masahiro], Cipolla, R.[Roberto],
Principled fusion of high-level model and low-level cues for motion segmentation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Ewerth, R.[Ralph], Schwalb, M.[Martin], Tessmann, P.[Paul], Freisleben, B.[Bernd],
Segmenting Moving Objects in MPEG Videos in the Presence of Camera Motion,
CIAP07(819-824).
IEEE DOI 0709
BibRef

Li, H.D.[Hong-Dong],
Consensus set maximization with guaranteed global optimality for robust geometry estimation,
ICCV09(1074-1080).
IEEE DOI 0909
BibRef

Li, H.D.[Hong-Dong],
Two-View Motion Segmentation from Linear Programming Relaxation,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Zhang, J.[Jing], Shi, F.H.[Fan-Huai], Wang, J.H.[Jian-Hua], Liu, Y.C.[Yun-Cai],
3D Motion Segmentation from Straight-Line Optical Flow,
MCAM07(85-94).
Springer DOI 0706
BibRef

Treetasanatavorn, S.[Siripong], Rauschenbach, U.[Uwe], Heuer, J.[Jörg], Kaup, A.[André],
Bayesian Method for Motion Segmentation and Tracking in Compressed Videos,
DAGM05(277).
Springer DOI 0509
BibRef

Coudray, R.[Renan], Besserer, B.[Bernard],
Motion Based Segmentation Using MPEG Streams and Watershed Method,
ISVC05(729-736).
Springer DOI 0512
BibRef

Doulaverakis, C., Vagionitis, S., Zervakis, M.E.[Michalis E.], Petrakis, E.G.M.[Euripides G. M.],
Adaptive Methods for Motion Characterization and Segmentation of MPEG Compressed Frame Sequences,
ICIAR04(I: 310-317).
Springer DOI 0409
BibRef

Yu, X.D.[Xiao-Dong], Duan, L.Y.[Ling-Yu], Tian, Q.[Qi],
Robust moving video object segmentation in the MPEG compressed domain,
ICIP03(III: 933-936).
IEEE DOI 0312
BibRef

Jamrozik, M.L., Hayes, M.H.,
A compressed domain video object segmentation system,
ICIP02(I: 113-116).
IEEE DOI 0210
BibRef

Benzougar, A., Bouthemy, P., Fablet, R.,
MRF-based Moving Object Detection from MPEG Coded Video,
ICIP01(III: 402-405).
IEEE DOI 0108
BibRef

Yoneyama, A.[Akio],
Moving Object Detection and Identification from MPEG coded data,
ICIP99(II:934-938).
IEEE DOI BibRef 9900

Mitsumoto, S.[Shinichi], Zen, H.[Heitou],
Moving Object Detection from MPEG Coded Picture,
ICIP99(IV:25-29).
IEEE DOI BibRef 9900
Earlier: Add A2: Yuasa, H., MVA98(xx-yy). BibRef

Schnepf, Z.[Zoltan], Stöffler, N.O.[Norbert O.],
An MPEG-Processor-Based Robot Vision System for Real-Time Detection of Moving Objects by a Moving Observer,
ICPR98(Vol I: 477-481).
IEEE DOI 9808
BibRef

Eng, H.L., Ma, K.K.,
Unsupervised Image Object Segmentation Over Compressed Domain,
ICIP00(Vol III: 758-761).
IEEE DOI 0008
BibRef

Eng, H.L.[How-Lung], Ma, K.K.[Kai-Kuang],
Spatio-temporal Segmentation of Moving Video Objects over MPEG Compressed Domain,
ICME00(WP5). 0007
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Segmentation, Object Extraction, Evaluation, Survey .


Last update:Jan 20, 2025 at 11:36:25