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From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
Zhenqiang Ying, Haoran Niu, Praful Gupta +3
Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts bil…
ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
The use of norms has largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties. However, when used to assess…
Study of 3D Virtual Reality Picture Quality
Meixu Chen, Yize Jin, Todd Goodall +2
Virtual Reality (VR) and its applications have attracted significant and increasing attention. However, the requirements of much larger file sizes, different storage formats, and i…
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction
Somdyuti Paul, Andrey Norkin, Alan C. Bovik
In VP9 video codec, the sizes of blocks are decided during encoding by recursively partitioning 6464 superblocks using rate-distortion optimization (RDO). This process is c…