Compression of Patient Monitoring Video Using Motion Segmentation Technique

Abstract

The volume of patient monitoring video acquired in hospitals is very huge and hence there is a need for better compression of the same for effective storage and transmission. This paper presents a new motion segmentation technique, which improves the compression of patient monitoring video. The proposed motion segmentation technique makes use of a binary mask, which is obtained by thresholding the standard deviation values of the pixels along the temporal axis. Two compression methods, which make use of the proposed motion segmentation technique, are presented. The first method uses MPEG-4 coder and 9/7-biorthogonal wavelet for compressing the moving and stationary portions of the video respectively. The second method uses 5/3-biorthogonal wavelet for compressing both the moving and the stationary portions of the video. The performances of these compression algorithms are evaluated in terms of PSNR and bitrate. From the experimental results, it is found that the proposed motion technique improves the performance of the MPEG-4 coder. Among the two compression methods presented, the MPEG-4 based method performs better for bitrates less than 767 Kbps whereas for bitrates above 767 Kbps the performance of the wavelet based method is found superior.

Detection and compression of moving objects based on new panoramic image modeling

“…11. PSNRs and bitrates for sequences 7,8,9,10,11, and 12 with respect to the frame number. (a) PSNR and used bytes per frame for sequence 7 having moving object, (b) PSNR and used bytes per frame for sequence 8 having moving object, (c) PSNR and used bytes per frame for sequence 9 having moving object, (d) PSNR and used bytes per frame for sequence 10 having moving object, (e) PSNR and used bytes per frame for sequence 11 having moving object, and (f) PSNR and used bytes per frame for sequence 12 having moving object.…”

“…MPEG-4 part 2 is the most representative video codec to deal with multiple moving objects. On the basis of this idea, a patient monitoring system has been proposed to compress a huge amount of video data in hospitals [10]. This work proposed a motion segmentation algorithm and segmented objects are coded with the MPEG-4 codec.…”