Fast scene change detection using direct feature extraction from MPEG compressed videos

Young Min Kim, Sung Woo Choi, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In order to process video data efficiently, a video segmentation technique through scene change detection must be employed. Many of advanced video applications require manipulations of compressed video signals. So, the scene change detection process is achieved by analyzing the video directly in the compressed domain, thereby avoiding the overhead of decompressing video into individual frames in the pixel domain. In this paper, we propose a fast scene change detection algorithm using direct feature extraction from MPEG compressed videos, and evaluate this technique using sample video data. This process was made possible by a new mathematical formulation for deriving the edge information directly from the DCT coefficients.

Original languageEnglish
Title of host publicationProceedings - 15th International Conference on Pattern Recognition, ICPR 2000 - Volume 3
Subtitle of host publicationImage, Speech, and Signal Processing
EditorsM. Vanrell, J. J. Villanueva, A. Sanfeliu, R. Alquezar, T. Huang, J. Serra
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages174-177
Number of pages4
Volume3
ISBN (Electronic)0769507506
DOIs
Publication statusPublished - 2000 Jan 1
Event15th International Conference on Pattern Recognition, ICPR 2000 - Barcelona, Spain
Duration: 2000 Sep 32000 Sep 7

Other

Other15th International Conference on Pattern Recognition, ICPR 2000
CountrySpain
CityBarcelona
Period00/9/300/9/7

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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