An effiicient full frame algorithm for object-based error concealment in 3D depth-based video
| Autor: | Chien-Shiang Hong, Ya-Chiung Luo, Chuen-Ching Wang, Shen-Chuan Tai |
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| Rok vydání: | 2015 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Object (computer science) Residual frame Motion vector Hardware and Architecture Depth map Motion estimation 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Algorithm Software Reference frame Block-matching algorithm |
| Zdroj: | Multimedia Tools and Applications. 75:9927-9947 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-015-2899-4 |
| Popis: | In real-time video transmission, the loss of packet results in visual quality degraded for the succeeding frames. This paper proposes an efficient full frame algorithm for depth-based 3-D videos. Each frame can be regarded as combination of objects. True motion estimation (TME) and depth map are exploited to calculate the motion vector (MV) for each object. In this paper, the object is defined as the pixels with the same MV and similar depth value. The object-based MV can extrapolate each object in reference frame to reconstruct the damage frame. In the consideration of computational complexity, in this method, only the high frequency regions need to execute TME. In this paper, we provide a new method to obtain the objects according to temporal and depth information. From the simulation results, our algorithm gives better visual quality and PSNR in most case with lower complexity. |
| Databáze: | OpenAIRE |
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