Title :
A Fast and Accurate Moving Object Extraction Scheme in the MPEG Compressed Domain
Author :
Qiya, Zhou ; Gaobo, Yang ; Weiwei, Chen ; Zhaoyang, Zhang
Author_Institution :
Hunan Univ., Changsha
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.
Keywords :
data compression; feature extraction; image colour analysis; image segmentation; video coding; MPEG compressed domain; contour feature extraction; image segmentation; motion vector field; moving object extraction; video coding; Computer displays; Costs; Data mining; Decoding; Image coding; Image segmentation; Pixel; Streaming media; Transform coding; Video compression;
Conference_Titel :
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location :
Sichuan
Print_ISBN :
0-7695-2929-1
DOI :
10.1109/ICIG.2007.20