Browse > Article

Design of Moving Picture Retrieval System using Scene Change Technique  

Kim, Jang-Hui (Dept. of Electronic Eng., Dong-A University)
Kang, Dae-Seong (Dept. of Electronic Eng., Dong-A University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.3, 2007 , pp. 8-15 More about this Journal
Abstract
Recently, it is important to process multimedia data efficiently. Especially, in case of retrieval of multimedia information, technique of user interface and retrieval technique are necessary. This paper proposes a new technique which detects cuts effectively in compressed image information by MPEG. A cut is a turning point of scenes. The cut-detection is the basic work and the first-step for video indexing and retrieval. Existing methods have a weak point that they detect wrong cuts according to change of a screen such as fast motion of an object, movement of a camera and a flash. Because they compare between previous frame and present frame. The proposed technique detects shots at first using DC(Direct Current) coefficient of DCT(Discrete Cosine Transform). The database is composed of these detected shots. Features are extracted by HMMD color model and edge histogram descriptor(EHD) among the MPEG-7 visual descriptors. And detections are performed in sequence by the proposed matching technique. Through this experiments, an improved video segmentation system is implemented that it performs more quickly and precisely than existing techniques have.
Keywords
Retrieval; Shot; Video Segmentation; HMMD Color Model; Edge Histogram Descriptor;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S.Antani, R.Kasturi, R.Jain, 'A survey on the use of pattern recognition mehtods for abstraction, indexing and retrieval of images and video,' Pattern Recognition, vol.35, pp.945-965, 2002   DOI   ScienceOn
2 John R. Smith and Shih-Fu Chang, 'Automated Image Retrieval Using Color and Texture,' Columbia University Technical Report TR# 414-95-20, July 1995
3 L. M. Kaplan, R. Murenzi, and K. R. Namuduri, 'Fast texture database retrieval using extended fractal features,' SPIE Proc. Storage and Retrieval for image and viedo database, vol 3312, pp. 162-175, Jan. 1998   DOI
4 J. K. Spark, 'Intelligent retrieval,' Intelligent Information Retrieval: Informatics 7, J. K. Spark, eds., Aslib, London, pp. 136-142, 1983
5 B.S M anjunath, Philippe Salembier, Thomas Sikora, 'Introduction to MPEG-7', WILEY, 2002
6 J. Huang et al. 'Image indexing using color corrlograms,' IEEE Proc. Computer Vision and Pattern Recognition, pp. 744-749, 1997   DOI
7 M. Swain and D. Balled, 'Color indexing,' International Journal of Computer Vision, vol. 7, no. 1, pp. 11-32, 1991   DOI
8 R. Mehrotra adn J. Gary, 'Similar-shape retrieval in shape data management,' IEEE Computer, vol. 28, pp. 57-62. Sept. 1995   DOI   ScienceOn
9 B. Manjunath and W. Ma, 'Texture features for browsing and retrieval of image data,' IEEE Trans. Pattern Anal. Machine Intell., vol 18, pp. 837-842, Aug. 1996   DOI   ScienceOn