Survey on video temporal segmentation

Jisuanji Xuebao/Chinese Journal of Computers

Volumn 27, Issue 8, 2004, Pages 1027-1035

  Zhu, Xi ^a   Lin, Xing Gang ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Compressed domain; Cut transition; Feature extraction; Gradual transition; Video temporal segmentation

Indexed keywords

ALGORITHMS; EDGE DETECTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; INFORMATION ANALYSIS; STATISTICAL METHODS;

COMPRESSED DOMAIN; CUT TRANSITION; GRADUAL TRANSITION; VIDEO TEMPORAL SEGMENTATION;

VIDEO SIGNAL PROCESSING;

EID: 4644295800     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (42)

1. Alan Hanjalic. Shot-boundary detection: unraveled and resolved? IEEE Transactions on Circuits and Systems for Video Technology, 2002, 12(2): 90-105
2. Zhang Yu-Jin. Image engineering in China some current research focuses. Journal of Computer Aided-Design and Computer Graphics, 2002, 14(6): 489-500(in Chinese)
3. Jin Hong, Zhou Yang-Hua. Review of video parsing techniques for contented-based video retrieval. Journal of Image and Graphics, 2000, 5(4): 276-283(in Chinese)
4. Ahanger G., Little T. D. C.. A survey of technologies for parsing and indexing digital video. Journal of Visual Communication and Image Representation, 1996, 7(1): 28-43
5. Boreczky J. S., Rowe L.. Comparison of video shot boundary detection techniques. In: Proceedings of IS and T/SPIE Storage and Retrieval for Still Image and Video Databases IV, San Jose, CA, 1996, 2670: 170-179
6. Furht B., Smoliar S. W., Zhang H.. Video and Image Processing in Multimedia Systems. Norwell, MA: Kluwer, 1995
7. Lienhart R.. Comparison of automatic shot boundary detection algorithms. In: Proceedings of IS and T/SPIE Storage and Retrieval for Image and Video Databases VII, San Jose, CA, 1999, 3656: 290-301
8. Reliable transition detection in videos: A survey and practitioner's guide. International Journal of Image Graphics, 2001, 1(3): 469-486
9. Kikukawa T., Kawafuchi S.. Development of an automatic summary editing system for the audio visual resources. Transactions of the Institute of Electronics, Information and Communication Engineers, 1992, J75-A(2): 204-212
10. Choubey S. K., Raghavan V. V.. Generic and fully automatic content-based image retrieval using color. Pattern Recognition Letters, 1997, 18: 1233-1240
11. Zhang H. J., Chien Y. L., Smoliar S. W.. Video parsing and browsing using compressed data. Multimedia Tools and Applications, 1995, (1): 89-113
12. Shahraray B.. Scene change detection and content-based sampling of video sequences. In: Proceedings of IS and T/SPIE Symposium on Digital Video Compression: Algorithm and Technologies. Bellingham, Washington D. C.: SPIE Press, 1995, 2419: 2-13
13. Zhang H. J. et al.. Video parsing, retrieval and browsing: An integrated and content-based solution. In: Proceedings of ACM Multimedia'95, San Francisco, 1995, 15-24
14. Nagasaka A., Tanaka Y.. Automatic video indexing and full-video search for object appearances. In: Knuth E., Wegner L. M. eds. IFIP Proceedings of Visual Database Systems. Amsterdam, The Netherlands: North-Holland, 1992, 113-127
15. Srinivasan M. V., Venkatesh S., Hosie R.. Qualitative estimation of camera motion parameters from video sequence. Pattern Recognition, 1997, 30(4): 593-606
16. Ueda H., Miyatake T., Yoshizawa S. IMPACT. An interactive natural-motion picture dedicated multimedia authoring system. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: Reaching Through Technology. New York: ACM Press, 1991, 343-350
17. Toller M. S., Lewis, Nixon M. S.. Video segmentation using combined cues. In: Proceedings of the SPIE, San Jose, CA, 1997, 3312: 414-425
18. Alattar A. M.. Detecting and compressing dissolve regions in video sequences with a DVI multimedia image compression algorithm. In: Proceedings of IEEE International Symposium Circuits and Systems (ISCAS), Chicago, 1993, 1: 13-16
19. Meng J. H., Juan Y. J., Chang S. F.. Scene change detection in a MPEG compressed video sequence. In: Proceedings of IS and T/SPIE, Conference on Multimedia Computing and Networking. San Jose, CA: SPIE Press, 1995, 2417: 180-191
20. Arman F., Hsu A., Chiu M.. Feature management for large video databases. In: Proceedings of IS and T/SPIE Storage and Retrieval for Image and Video Databases, San Jose, CA, 1993, 2-12
21. Nagasaka A., Tanaka Y.. Automatic video indexing and full-video search for object appearances. In: Knuth E., Wegner L. M. eds. Visual Database Systems II. Amsterdam, The Netherlands: North-Holland, 1992, 113-127
22. Otsuji K., Tonomura Y., Ohba Y.. Video browsing using brightness data. In: Proceedings of SPIE/IS and T VCIP'91, 1991, 1606: 980-989
23. Zhang H., Kankanhalli A., Smoliar S. W.. Automatic partitioning of full-motion video. Multimedia System, 1993, 1(1): 10-28
24. Yeo B. L., Liu B.. Rapid scene analysis on compressed video. IEEE Transactions on Circuits and Systems for Video Technology, 1995, 5(6): 533-544
25. Hanjalic A., Ceccarelli M., Lagendijk R. L., Biemond J.. Automation of systems enabling search on stored video data. In: Proceedings of IS and T/SPIE Storage and Retrieval for Image and Video Databases V, San Jose, CA, 1997, 3022: 427-438
26. Vasconcelos N., Lippman A.. Statistical models of video structure for content analysis and characterization. IEEE Transactions on Image Processing, 2000, 9(1): 3-19
27. Liu T. Y., Lo K. T., Zhang X. D. et al.. Inertia-based cut detection and its integration with video coder. IEEE Proceedings on Vision, Image and Signal Processing, 2003, 150(3): 186-192
28. Zhang H. J., Wu Jian-Hua, Zhong Di et al.. An integrated system for content-based video retrieval and browsing. Pattern Recognition, 1997, 30(4): 643-657
29. Song S Moon-Ho, Kwon Tae-Hoon. On detection of gradual scene changes for parsing of video data. In: Proceedings of SPIE, San Jose, CA, 1997, 3312: 404-409
30. Hampapur A., Jain R., Weymouth T.. Digital video segmentation. In: Proceedings of the 2nd Annual ACM Multimedia Conference and Exposition ACM, New York, USA, 1994, 357-364
31. Truong B. T., Dorai C., Venkatesh S.. Improved fade and dissolve detection for reliable video segmentation. In: Proceedings of IEEE International Conference on Image Processing (ICIP 2000). Vancouver, BC, Canada: IEEE Press, 2000, 3: 961-964
32. Truong B. T., Dorai C., Venkatesh S.. New enhancements to cut, fade and dissolve detection processes in video segmentation. In: Proceedings of ACM Multimedia 2000. Los Angeles, California, USA: ACM Press, 2000, 219-227
33. Yu Song-Yu, Zhang Wen-Jun. Modern Image information Compression Technology. Beijing: Science Press, 1998(in Chinese)
34. Qi Wei, Zhong Yu-Zhuo. Approach for shot segmentation using MPEG compressed data. Journal of Tsinghua University (Sci and Tech), 1997, 37(9): 50-54(in Chinese)
35. Yeo B. L., Liu B.. Rapid scene analysis on compressed video. IEEE Transactions on Circuits and Systems for Video Technology, 1995, 5(6): 533-544
36. Jin Hong, Zhou Yuan-Hua. A fuzzy logic based scene change detection method for MPEG compressed video. Journal of China Institute of Communications, 2000, (7): 57-62(in Chinese)
37. Calic Janko, Izquierdo E.. Towards real-time shot detection in the MPEG compressed domain. In: Proceedings of WIAMIS'2001-Workshop on Image Analysis for Multimedia Interactive Services, Tampere, Finland, 2001
38. Arman F., Hsu A., Chiu M. Y.. Image processing on compressed data for large video databases. In: Proceedings of ACM Multimedia 93, Anaheim, CA, 1993, 267-272
39. Fernando W. A. C., Canagarajah C. N., Bull D. R.. Scene change detection algorithms for content-based video indexing and retrieval. Electronics and Communication Engineering Journal, 2001
40. Liu Yang, Wu Zhi-Mei. A wipe transition detection method in MPEG compressed domain. Acta Electronica Sinica, 2002, 30(5): 741-744(in Chinese)
41. Fu Qing-Dong, Cheng Yi-Min, Wang Yi-Xiao. A compressed video partition algorithm of MPEG including-complex motion. Journal of Circuits and Systems, 2002, 7(2): 30-34(in Chinese)
42. Wang H., Divakaran A., Vetro A., Chang S. F., Sun H.. Survey on compressed-domain features used in video/audio indexing and analysis. Journal of Visual Communications and Image Representation, 2003, 14(2): 150-183