Automatic cut detection in MPEG movies: A multi-expert approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2396, Issue , 2002, Pages 699-708

  de Santo, Massimo ^a   Percannella, Gennaro ^a   Sansone, Carlo ^b   Santoro, Roberto ^a   Vento, Mario ^a  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERT SYSTEMS; SYNTACTICS;

BAYESIAN RULE; COMBINATION RULES; COMPLEMENTARY FEATURES; COMPRESSED DOMAIN; MULTI-EXPERT SYSTEMS; SCIENTIFIC LITERATURE; SHOT CHANGE DETECTION; WEIGHTED VOTING;

PATTERN RECOGNITION;

EID: 8644283249     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-70659-3_73     Document Type: Conference Paper

References (12)

1. T.K. Ho, J.J. Hull, S.N. Srihari, Decision Combination in Multiple Classifier Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(1), (1994), 66-75.
2. J. Kittler, M. Hatef, R.P. W. Duin, J. Matas, On Combining Classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(3), (1998), 226-239.
3. J. Feng, K.T. Lo and H. Mehrpour,“Scene change detection algorithm for MPEG video sequence”, Proc. of the IEEE International Conference on Image Processing, vol. 2, pp. 821.824, Sept. 1996.
4. G. Boccignone, M. De Santo, and G. Percannella, “An algorithm for video cut detection in MPEG sequences,” Proc. of the IS&T/SPIE International Conference on Storage and Retrieval of Media Databases 2000, pp. 523-530, Jan. 2000, San Jose, CA.
5. S.C. Pei, Y.Z. Chou, Efficient MPEG compressed video analysis using macroblock type information, in IEEE Transactions on Multimedia, 1(4), (1999), 321.333.
6. J. Nang, S. Hong, Y. Ihm,“An efficient video segmentation scheme for MPEG video stream using Macroblock information., Proc. of the ACM International Conference on Multimedia, pp. 23-26, 1999.
7. S.M. Bhandarkar, A.A. Khombhadia,“Motion-based parsing of compressed video”, Proc. of the IEEE International Workshop on Multimedia Database Management Systems, pp. 80-87, Aug. 1998.
8. B.L. Yeo, B. Liu, Rapid Scene Analysis on Compressed Video, IEEE Transactions on Circuits and Systems for Video Technology, 5(6), (1995), 533-544.
9. S.W. Lee, Y.M. Kim, S.W. Choi, Fast Scene Change Detection using Direct Features Extraction from MPEG Compressed Videos, IEEE Transactions on Multimedia, 2(4), (2000), 240-254.
10. N.V. Patel, I.K. Sethi, Compressed video processing for cut detection, IEE Proceedings on Vision, Image and Signal Processing, 143(5), (1996), 315-323.
11. S.S. Yu, J.R. Liou, W.C. Chen, Computational similarity based on chromatic barycenter algorithm, IEEE Transactions on Consumer Electronics, 42(2), (1996), 216-220.
12. L. Xu, A. Krzyzak, C.Y. Suen, Methods of Combining Multiple Classifiers and Their Application to Handwritten Numeral Recognition, IEEE Transactions on Systems, Man and Cybernetics 1992; 22(3), (1992), 418-435.