Automatic video object detection and mask signal removal for efficient video preprocessing

Zhihai He

doi:10.1117/12.527236

18 January 2004 Automatic video object detection and mask signal removal for efficient video preprocessing

Zhihai He

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.527236
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

In this work, we consider a generic definition of video object, which is a group of pixels with temporal motion coherence. The generic video object (GVO) is the superset of the conventional video objects discussed in the literature. Because of its motion coherence, the GVO can be easily recognized by the human visual system. However, due to its arbitray spatial distribution, the GVO cannot be easily detected by the existing algorithms which often assume the spatial homogeneousness of the video objects. In this work, we introduce the concept of extended optical flow and develop a dynamic programming framework for the GVO detection. Using this mathematical optimization formulation, whose solution is given by the the Viterbi algorithm, the proposed object detection algorithm is able to discover the motion path of the GVO automatically and refine its spatial location progressively. We apply the GVO detection algorithm to extract and remove the so-called "video mask" signals in the video sequence. Our experimental results show that this type of vision-guided video pre-processing significantly improves the compression efficiency.

Citation Download Citation

Zhihai He "Automatic video object detection and mask signal removal for efficient video preprocessing", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.527236

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