Visual quality assessment of H.264/AVC compressed laparoscopic video
نویسندگان
چکیده
The digital revolution has reached hospital operating rooms, giving rise to new opportunities such as tele-surgery and tele-collaboration. Applications such as minimally invasive and robotic surgery generate large video streams that demand gigabytes of storage and transmission capacity. While lossy data compression can offer large size reduction, high compression levels may significantly reduce image quality. In this study we assess the quality of compressed laparoscopic video using a subjective evaluation study and three objective measures. Test sequences were full High-Definition videos captures of four laparoscopic surgery procedures acquired on two camera types. Raw sequences were processed with H.264/AVC IPPP-CBR at four compression levels (19.5, 5.5, 2.8, and 1.8 Mbps). 16 non-experts and 9 laparoscopic surgeons evaluated the subjective quality and suitability for surgery (surgeons only) using Single Stimulus Continuous Quality Evaluation methodology. VQM, HDR-VDP-2, and PSNR objective measures were evaluated. The results suggest that laparoscopic video may be lossy compressed approximately 30 to 100 times (19.5 to 5.5 Mbps) without sacrificing perceived image quality, potentially enabling real-time streaming of surgical procedures even over wireless networks. Surgeons were sensitive to content but had large variances in quality scores, whereas non-experts judged all scenes similarly and over-estimated the quality of some sequences. There was high correlation between surgeons’ scores for quality and “suitability for surgery”. The objective measures had moderate to high correlation with subjective scores, especially when analyzed separately by camera type. Future studies should evaluate surgeons’ task performance to determine the clinical implications of conducting surgery with lossy compressed video.
منابع مشابه
Video Abstraction in H.264/AVC Compressed Domain
Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new video abstraction method in H.264/AVC compressed domain, AVAIF. The method is based on the norm...
متن کاملNo-Reference Video Quality Assessment
Methods to assess the visual quality of digital videos as perceived by human observers are becoming important, due to large number of applications that target humans as the end users of video. In this paper a no-reference video quality assessment (VQA) algorithm is introduced. Characteristics of human visual system (HVS) is taken into considerations. The quality of video is calculated in compre...
متن کاملReduced-Reference Image Quality Assessment Based on the Similarity of Edge Projections
The goal of image or video quality assessment is to evaluate if a distorted image or video is of a good quality by measuring the difference between the original and distorted images or videos. In this paper, to assess the visual quality of an arbitrary distorted image or a compressed video, visual features of the image or video are compared with those of the original image or video instead of d...
متن کاملNo Reference Video Quality Metric for 4K-UHD Videos Based on H.264/AVC Bitstream Features
With the wide-spread use of digital videos, quality considerations have become essential, and industry demand for video quality measurement standards is rising. In this paper, we proposed a no reference video quality metric for 4K-UHD videos in the compressed domain. As video coding parameters which can reflect the degree of distortion caused by compression can be extracted in compressed domain...
متن کاملImage and Video Quality Assessment Based on the Similarity of Edge Projections
The goal of image or video quality assessment is to evaluate if a distorted image or video is of a good quality by quantifying the difference between the original and distorted images or videos. In this paper, to assess the visual quality of an arbitrary distorted image or a compressed video, visual features of the image or video are compared with those of the original image or video instead of...
متن کامل