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

Young Min Kim, Sung Woo Choi, Seong Whan Lee

    Research output: Contribution to journalArticlepeer-review

    3 Citations (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
    Pages (from-to)174-177
    Number of pages4
    JournalProceedings - International Conference on Pattern Recognition
    Volume15
    Issue number3
    DOIs
    Publication statusPublished - 2000

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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