Enhancing the HEVC video analyzer for medical diagnostic videos

Video analyzers are employed to perform an in depth analysis of coding decisions undertaken during the execution of a video codec. Medical diagnostic videos, which are typically dealt with in telemedicine scenarios need careful examination to incorporate the most optimum coding decisions. This paper deals with the enhancement of an open-source video stream analyzer to facilitate codec development tailored for medical diagnostic videos. The proposed extensions include visual representation of quantitative information for the bit count used at CTU level, as well as displaying the different mode decisions adopted in the case of merge mode, prediction mode, and intra mode. We have incorporated the said extensions in HEVC analyzer and validated the approach by using test video sequences for Ultrasound, Eye, and Skin examination.