A new video segmentation algorithm using a combined segmentation measure for content-based coding is presented. The combined segmentation measure is a weighted sum of intensity, motion, and a change segmentation measu...
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A new video segmentation algorithm using a combined segmentation measure for content-based coding is presented. The combined segmentation measure is a weighted sum of intensity, motion, and a change segmentation measure. The change segmentation measure is defined from a change image, which is obtained from the proposed change detector. The proposed change detector performs morphological erosion filtering to eliminate many inaccurate components, included in the resulting image obtained from a conventional change detector. Since the change segmentation measure is defined as an absolute change value difference between a pixel and its neighboring region, it can be an efficient segmentation measure for the accurate segmentation of neighboring moving objects and static background regions. Therefore, the proposed combined segmentation measure can determine exact boundaries even though the estimated motion vectors around the boundaries of moving objects and static background regions are inaccurate and the intensities around the boundaries are similar. From the experimental results for a videosegmentation, since the combined segmentation measure can accurately segment the boundaries between moving objects and static background regions, the motion compensated images produced by the proposed segmentationalgorithm show improved image quality compared to the conventional segmentation. (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(00)01208-3].
With the development of the media industry, maximizing concurrency while ensuring the user's viewing experience has become an important research topic for each major video website. Currently, one solution is to sl...
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ISBN:
(纸本)9798350326970
With the development of the media industry, maximizing concurrency while ensuring the user's viewing experience has become an important research topic for each major video website. Currently, one solution is to slice the video, which conserves server bandwidth. Therefore, the design of segment durations has been widely discussed in academia. The research shows that the longer the segment duration is, the better the user experience;however, the increase in video segment duration has a negative impact on the concurrency of the video website. In this paper, a variable length segmentation strategy based on user behaviour is proposed for videosegmentation. In the early stage of video browsing, the video loading is ensured, and a short videosegmentation strategy is adopted. When the number of users becomes stable, the segment duration is slowly increased to a fixed value to ensure fluency for the users watching the videos. In this paper, the JMeter test tool is used to test the concurrency volume. Through experimental verification, the variable length video segmentation algorithm proposed in this paper is shown to effectively improve the concurrency of the video websites.
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