haiqiangwang

MCL lab is proud to release a new dataset about compressed images. It consists of 50 source images with resolution 1920×1080 and 100 JPEG-coded images for each source image. More than 150 volunteers participated in the subjective test. Each individual set of compressed images was evaluated by 30 subjects in a controlled environment.

This dataset was proposed to challenge the traditional approaches to measure the quality of compressed image/video. Based on the characteristics of the Human Visual System (HVS), a Just Noticeable Difference (JND) framework was proposed to investigate the limitation of HVS on compressed images. It means to boost large-scale statistical study on human-perceived image quality as well as the future development of perceptual-based image/video coding standards.

Multimedia Communication Lab held the first internal screening exam – programming from 1/7/2014 to 1/9/2014. The exam includes three parts: written examination, oral examination and practical computer-based programming with languages limited in C/C++/Java/Python. As a complement of the official screening exam, this internal exam aims to enhance the programming ability of Ph.D candidates. Each test taker is supposed to accomplish a project within three days, including implementing a state-of-the-art algorithm on selected topic and submitting final report with detailed discussion about the project.

Three group members took the exam this year and congratulations to those who passed.