இன்டர்நேஷனல் ஜர்னல் ஆஃப் அட்வான்ஸ்மென்ட்ஸ் இன் டெக்னாலஜி
திறந்த அணுகல்

சுருக்கம்

Survey on Motion Vector Filtering and Object Segmentation Methods in Compressed Domain

R.Rajkumar, D.SaiKrishna, Jayanth.A.S

In the compression domain video analysis, motion vectors and DCT coefficients are the two main components used to analyze the motion of objects. Compression domain video analysis has many advantages over pixel domain analysis, it is becoming popular very fast and thus there is a need to develop an efficient method to identify the objects in the compression domain. In due course, large number of compressed domain approaches have appeared over the years, including foreground segmentation and object tracking. As mentioned earlier motion vectors and DCT coefficients play a major role in object detection and there is a possibility of noise in both the components. An efficient algorithm is required to filter out these noisy components. Considering the issue, we discuss several approaches for both noise filtering and object segmentation in a compressed video.