Multiview image coding with depth maps and 3D geometry for prediction
نویسندگان
چکیده
Block-based disparity compensation is an eÆcient prediction scheme for encoding multi-view image data. Available scene geometry can be used to further enhance prediction accuracy. In this paper, three di erent strategies are compared that combine prediction based on depth maps and 3-D geometry. Three real-world image sets are used to examine prediction performance for di erent coding scenarios. Depth maps and geometry models are derived from the calibrated image data. Bit-rate reductions up to 10% are observed by suitably augmenting depth map-based with geometry-based prediction.
منابع مشابه
The effects of multiview depth video compression on multiview rendering
This article investigates the interaction between different techniques for depth compression and view synthesis rendering with multiview video plus scene depth data. Two different approaches for depth coding are compared, namely H.264/MVC, using temporal and inter-view reference images for efficient prediction, and the novel platelet-based coding algorithm, characterized by being adapted to the...
متن کاملFast Intra Mode Decision for Depth Map coding in 3D-HEVC Standard
three dimensional- high efficiency video coding (3D-HEVC) is the expanded version of the latest video compression standard, namely high efficiency video coding (HEVC), which is used to compress 3D videos. 3D videos include texture video and depth map. Since the statistical characteristics of depth maps are different from those of texture videos, new tools have been added to the HEVC standard fo...
متن کاملGraph-based representation for multiview image coding
In this paper, we propose a new representation for multiview image sets. Our approach relies on graphs to describe geometry information in a compact and controllable way. The links of the graph connect pixels in different images and describe the proximity between pixels in the 3D space. These connections are dependent on the geometry of the scene and provide the right amount of information that...
متن کاملMultiview Depth-Image Compression Using an Extended H.264 Encoder
This paper presents a predictive-coding algorithm for the compression of multiple depth-sequences obtained from a multi-camera acquisition setup. The proposed depth-prediction algorithm works by synthesizing a virtual depth-image that matches the depth-image (of the predicted camera). To generate this virtual depth-image, we use an image-rendering algorithm known as 3D image-warping. This newly...
متن کاملAn Overview of Emerging Technologies for High Efficiency 3D Video Coding
3D video coding is one of the most popular research area in multimedia. This paper reviews the recent progress of the coding technologies for multiview video (MVV) and free view-point video (FVV) which is represented by MVV and depth maps. We first discuss the traditional multiview video coding (MVC) framework with different prediction structures. The rate-distortion performance and the view sw...
متن کامل