PERCEPTUAL QUALITY ASSESSMENT ON DIBR SYNTHESIZED VIDEOS WITH COMPOSITE DISTORTIONS

DIBR (depth-image-based rendering) synthesized videos has become increasingly popular recently in supporting 3D-TV, Free-viewpoint video (FVV) and interactive graphic applications. Due to the synthesis process, it contains composite distortions, i.e., DCT-like distortions plus geometric distortions. It has led to new challenges for subjective and objective video quality assessment (VQA) community, where such composite distortions have not been taken into consideration. In this work, we construct a new database composed of DIBR synthesized videos, the reference view video is compressed by H.264 and HEVC encoders, which is subsequently synthesized to the virtual view with different DIBR algorithms. We also propose a novel no-reference (NR) synthesized video quality metric with multi-modal feature pooling and evaluate it against representative full reference (FR) and NR objective VQA models on the proposed database. The database and the proposed metric will be made available to the public.