A Fast and Accurate Moving Object Extraction Scheme in the MPEG Compressed Domain

Zhou Qi-ya, Yang Gaobo, Chen Weiwei, Z. Zhaoyang
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引用次数: 8

Abstract

The hot topic of moving object extraction has been transferred from the pixel domain to directly from the compressed stream. The existed work of compressed-domain moving object extraction in the literature usually can meet the requirement of real-time performance. However, the accuracy of extracted objects is too coarse. The reason is that the information utilized in the compressed-domain extraction process is not abundant and noisy. In order to solve this problem, a novel moving object extraction scheme with high accuracy for MPEG stream is proposed. Firstly, the contour-feature and motion vector based projection are fused to extract the coarse object in an efficient way. Second, the blocks in I frame are partially decoded to improve the segmentation accuracy. The innovation lies in a threshold method of image segmentation with automatic seeding is applied on the DC+2AC image of I frame to extract the contour-feature, which is combined with the projection of motion vector field of P frame to complete the coarse segmentation. Then tradeoff is made between the executive time and results' accuracy. High accuracy is acquired at the cost of partially decoding time and region-growing processing time, which is worthwhile at the expense of such a little more time to refine the result. Experiments reveal that the proposed algorithm has the attributes of both real-time and high accuracy at the same time.
一种快速准确的MPEG压缩域运动目标提取方法
将运动目标提取的热点从像素域直接转移到压缩流中。文献中已有的压缩域运动目标提取方法通常能够满足实时性的要求。然而,提取对象的精度过于粗糙。其原因是压缩域提取过程中所利用的信息不丰富且存在噪声。为了解决这一问题,提出了一种新的高精度MPEG流运动目标提取方案。首先,融合轮廓特征和基于运动向量的投影,有效提取粗目标;其次,对1帧中的块进行部分解码,提高分割精度;创新之处在于将自动播种的阈值图像分割方法应用于I帧DC+2AC图像提取轮廓特征,并结合P帧运动向量场投影完成粗分割。然后在执行时间和结果准确性之间进行权衡。以部分解码时间和区域增长处理时间为代价获得了较高的精度,这是值得的,可以多花一点时间来改进结果。实验结果表明,该算法同时具有实时性和高精度的特点。
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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