1. Low bit-rate coding with asymmetric resolution for stereoscopic video
- Author
-
Yu Lu, Xiaolin Ke, Huafei Mao, and Yingbiao Yao
- Subjects
Motion compensation ,Video post-processing ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Coding tree unit ,Scalable Video Coding ,Video compression picture types ,Uncompressed video ,Median filter ,Video denoising ,Computer vision ,Artificial intelligence ,Multiview Video Coding ,business ,Image resolution ,Context-adaptive binary arithmetic coding ,Interpolation - Abstract
It is necessary for stereoscopic video with vast data to be coded at low bit-rate to satisfy the constrained bandwidth. In this paper, a new coding method for stereoscopic video has been proposed to accomplish low bit-rate compression. Different from the common method that the resolution is reduced and magnified for depth video only, the proposed coding with asymmetric resolution is applied for both texture video and depth video. Conforming to the 3D extended standard of high efficiency video coding, the base view is coded at the full resolution but the dependant views are coded at the low resolution in this paper. The mean diversity based median filtering is proposed to decrease the video resolution while the interpolation filtering is utilized to restore the video from low resolution to high resolution. The experimental results demonstrate that the proposed method can obtain better coding performance including bit-rate reduction and rate distortion improvement than the anchor.
- Published
- 2015