从数字视频中快速提取视觉显著性图

2009 Digest of Technical Papers International Conference on Consumer Electronics Pub Date : 2009-05-29 DOI:10.1109/ICCE.2009.5012298

Shilin Xu, Weisi Lin, C.-C. Jay Kuo

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引用次数: 3

摘要

本文提出了一种从数字视频中提取视觉显著性图的快速算法。由于数字视频以编码形式存储和/或传输，我们利用运动矢量场(MVF)进行前景/背景分离，并应用基于图像的对比度模型进一步提高性能。实验结果证明了该算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fast visual saliency map extraction from digital video

A fast algorithm to extract the visual saliency map from digital video is proposed in this research. Since digital video is stored and/or transmitted in coded form, we utilize the motion vector field (MVF) for foreground/background separation and apply an image based contrast model for further performance improvement. The performance of the proposed algorithm is demonstrated by experimental results.

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2009 Digest of Technical Papers International Conference on Consumer Electronics

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