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The VIP Gallery for Video Processing Education
Todd Goodall, Alan C. Bovik
Digital video pervades daily life. Mobile video, digital TV, and digital cinema are now ubiquitous, and as such, the field of Digital Video Processing (DVP) has experienced tremend…
ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
We consider the problem of conducting frame rate dependent video quality assessment (VQA) on videos of diverse frame rates, including high frame rate (HFR) videos. More generally,…
Perceptual Video Quality Prediction Emphasizing Chroma Distortions
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
Measuring the quality of digital videos viewed by human observers has become a common practice in numerous multimedia applications, such as adaptive video streaming, quality monito…
Adaptive Debanding Filter
Zhengzhong Tu, Jessie Lin, Yilin Wang +2
Banding artifacts, which manifest as staircase-like color bands on pictures or video frames, is a common distortion caused by compression of low-textured smooth regions. These fals…
Learning to Compress Videos without Computing Motion
Meixu Chen, Todd Goodall, Anjul Patney +1
With the development of higher resolution contents and displays, its significant volume poses significant challenges to the goals of acquiring, transmitting, compressing, and displ…
No-Reference Video Quality Assessment Using Space-Time Chips
Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu +2
We propose a new prototype model for no-reference video quality assessment (VQA) based on the natural statistics of space-time chips of videos. Space-time chips (ST-chips) are a ne…