標題: A high visual quality sprite generator using intelligent blending without segmentation masks
作者: Kuo, I-Sheng
Chen, Ling-Hwei
資訊工程學系
Department of Computer Science
關鍵字: sprite generation;background mosaic;feature point extraction;global motion estimation;blending;MPEG-4
公開日期: 1-十二月-2006
摘要: The sprite generator introduced in MPEG-4 blends frames by averaging, which will make places, that are always occupied by moving objects, look blurred. Thus, providing segmented masks for moving objects is suggested. Several researchers have employed automatic segmentation methods to produce moving object masks. Based on these masks, they used a reliability-based blending strategy to generate sprites. Since perfect segmentation is impossible, some ghost-like shadows will appear in the generated sprite. To treat this problem, in this paper, an intelligent blending strategy without needing segmentation masks is proposed. It is based on the fact that for each point in the generated sprite, the corresponding pixels in most frames belong to background and only few belong to moving objects. A counting schema is provided to make only background points participate in average blending. The experimental result shows that the visual quality of the generated sprite using the proposed blending strategy is close to that using manually segmented masks and is better than that generated by Lu-Gao-Wu method. No ghostlike shadows are produced. Furthermore, a uniform feature point extraction method is proposed to increase the precision of global motion estimation, the effectiveness of this part is presented by showing the comparison results with other existing method.
URI: http://dx.doi.org/10.1142/S0218001406005162
http://hdl.handle.net/11536/11513
ISSN: 0218-0014
DOI: 10.1142/S0218001406005162
期刊: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Volume: 20
Issue: 8
起始頁: 1139
結束頁: 1158
顯示於類別:期刊論文


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