Patrick Ndjiki-Nya

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—3DTV technology has brought out new challenges such as the question of synthesized view evaluation. Synthesized views are generated through a depth image-based rendering (DIBR) process. This process induces new types of artifacts whose impact on visual quality has to be identified considering various contexts of use. While visual quality assessment has(More)
—A depth image-based rendering (DIBR) approach with advanced inpainting methods is presented. The DIBR algorithm can be used in 3-D video applications to synthesize a number of different perspectives of the same scene, e.g., from a multiview-video-plus-depth (MVD) representation. This MVD format consists of video and depth sequences for a limited number of(More)
We assume that the textures in a video scene can be classified into two categories: textures with unimportant subjective details and the remainder. We utilize this assumption for improved video coding using a texture analyzer and a texture synthesizer. The texture analyzer identifies the texture regions with unimportant subjective details and generates(More)
—A new content-based approach for improved H.264/MPEG4-AVC video coding is presented. The framework is generic because it is based on a closed-loop texture analysis by synthesis algorithm that can automatically identify and recover from video quality impairments through artifact detectors and appropriate countermeasures. The algorithm is flexible, for it(More)
Depth-image-based rendering (DIBR) is used to generate additional views of a real-world scene from images or videos and associated per-pixel depth information. An inherent problem of the view synthesis concept is the fact that image information which is occluded in the original view may become visible in the " virtual " image. The resulting question is: how(More)
In free viewpoint television or 3D video, depth image based rendering (DIBR) is used to generate virtual views based on a textured image and its associated depth information. In doing so, image regions which are occluded in the original view may become visible in the virtual image. One of the main challenges in DIBR is to extrapolate known textures into the(More)
A fully automatic algorithm for substitution of missing visual information is presented. The missing parts of a picture may have been caused by damages to or transmission loss of the physical picture. In the former case, the picture is scanned and the damage is considered as holes in the picture while, in the latter case, the lost areas are identified. The(More)
Perception-oriented video coding based on texture analysis and synthesis has gained importance over the past few years. Hence, the present paper overviews a selection of related approaches that have been proposed over the past decades. They are also referred to as content-based video coding (CBVC) methods in this paper. For better insight into CBVC, an(More)