A JOINT 3D IMAGE SEMANTIC SEGMENTATION and SCALABLE CODING SCHEME with ROI APPROACHReport as inadecuate




A JOINT 3D IMAGE SEMANTIC SEGMENTATION and SCALABLE CODING SCHEME with ROI APPROACH - Download this document for free, or read online. Document in PDF available to download.

1 IETR - Institut d-Electronique et de Télécommunications de Rennes 2 LaSTRe Azm platform for biomedical research

Abstract : Along with the digital evolution, image post-production and indexing have become one of the most advanced and desired services in the lossless 3D image domain. The 3D context provides a significant gain in terms of semantics for scene representation. However, it also induces many drawbacks including monitoring visual degradation of compressed 3D image especially upon edges, and increased complexity for scene representation. In this paper, we propose a semantic region representation and a scalable coding scheme. First, the semantic region representation scheme is based on a low resolution version of the 3D image. It provides the possibility to segment the image according to a desirable balance between 2D and depth. Second, the scalable coding scheme consists in selecting a number of regions as a Region of Interest RoI, based on the region representation, in order to be refined at a higher bit-rate.Experiments show that the proposed scheme provides a high coherence between texture, depth and regions and ensures an efficient solution to the problems of compression and scene representation in the 3D image domain.

Keywords : 3D scalable compression segmentation RoI extraction and refinement





Author: Khouloud Samrouth - Olivier Deforges - Yi Liu - Wassim Falou - Khalil Mohamad -

Source: https://hal.archives-ouvertes.fr/



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