New vistas in image and video quality assessment
نویسندگان
چکیده
In this Keynote Address paper, we review early work on Image and Video Quality Assessment against the backdrop of an interpretation of image perception as a visual communication problem. As a way of explaining our recent work on Video Quality Assessment, we first describe our recent successful advances on QA algorithms for still images, specifically, the Structural SIMilarity (SSIM) Index and the Visual Information Fidelity (VIF) Index. We then describe our efforts towards extending these Image Quality Assessment frameworks to the much more complex problem of Video Quality Assessment. We also discuss our current efforts towards the design and construction of a generic and publicly-available Video Quality Assessment database.
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