Statistical model-based change detection in moving video
Signal Processing
Machine vision
Using spatial information as an aid to maximum entropy image threshold selection
Pattern Recognition Letters
Image sequence segmentation based on 2D temporal entropic thresholding
Pattern Recognition Letters
Automatic segmentation of moving objects for video object plane generation
IEEE Transactions on Circuits and Systems for Video Technology
Unsupervised video segmentation based on watersheds and temporal tracking
IEEE Transactions on Circuits and Systems for Video Technology
Video segmentation based on multiple features for interactive multimedia applications
IEEE Transactions on Circuits and Systems for Video Technology
Semiautomatic segmentation and tracking of semantic video objects
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-4 standardized methods for the compression of arbitrarily shaped video objects
IEEE Transactions on Circuits and Systems for Video Technology
Video segmentation for content-based coding
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Efficient image segmentation for region-based motion estimation and compensation
IEEE Transactions on Circuits and Systems for Video Technology
A multiple camera coordination method based on genetic programming and material character
International Journal of Computer Applications in Technology
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With the increase of multimedia applications and content-based functionalities, efficient video coding methods are necessary. The moving picture experts group-4 (MPEG-4) provides content-based functionalities by introducing the concept of the video object plane (VOP). Each frame of the input sequence is segmented into a number of arbitrarily shaped image regions or VOP's so that each VOP describes a semantically meaningful object or video content of interest. For real-time applications of MPEG-4. a fast automatic object segmentation method of video sequences is needed. We propose a fast automatic VOP generation algorithm composed of two parts: object block segmentation and boundary block segmentation. The former defines block-based object regions in a frame and the latter generates the pixel-based object mask. Block-based object region search and restriction of segmentation regions to boundary blocks reduce a computational load. Experimental results with two test sequences show the effectiveness of the proposed algorithm in terms of the visual quality of segmentation results and the computation time.