Efficient streaming of stereoscopic depth-based 3D videos
| Autor: | Ghassan AlRegib, Mashhour Solh, Dogancan Temel, Mohammed A. Aabed |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Video post-processing
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 2D to 3D conversion Color space Luminance Video compression picture types Depth map Chrominance Codec Computer vision Artificial intelligence Multiview Video Coding Depth perception business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Visual Information Processing and Communication |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2005161 |
| Popis: | In this paper, we propose a method to extract depth from motion, texture and intensity. We first analyze the depth map to extract a set of depth cues. Then, based on these depth cues, we process the colored reference video, using texture, motion, luminance and chrominance content, to extract the depth map. The processing of each channel in the YC R C B -color space is conducted separately. We tested this approach on different video sequences with different monocular properties. The results of our simulations show that the extracted depth maps generate a 3D video with quality close to the video rendered using the ground truth depth map. We report objective results using 3VQM and subjective analysis via comparison of rendered images. Furthermore, we analyze the savings in bitrate as a consequence of eliminating the need for two video codecs, one for the reference color video and one for the depth map. In this case, only the depth cues are sent as a side information to the color video. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|