A study of data coding technology developments in the 1980-1985 time frame, volume 2

The source parameters of digitized analog data are discussed. Different data compression schemes are outlined and analysis of their implementation are presented. Finally, bandwidth compression techniques are given for video signals

Depth map compression via 3D region-based representation

In 3D video, view synthesis is used to create new virtual views between encoded camera views. Errors in the coding of the depth maps introduce geometry inconsistencies in synthesized views. In this paper, a new 3D plane representation of the scene is presented which improves the performance of current standard video codecs in the view synthesis domain. Two image segmentation algorithms are proposed for generating a color and depth segmentation. Using both partitions, depth maps are segmented into regions without sharp discontinuities without having to explicitly signal all depth edges. The resulting regions are represented using a planar model in the 3D world scene. This 3D representation allows an efficient encoding while preserving the 3D characteristics of the scene. The 3D planes open up the possibility to code multiview images with a unique representation.Postprint (author's final draft

A novel method for subjective picture quality assessment and further studies of HDTV formats

This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ IEEE 2008.This paper proposes a novel method for the assessment of picture quality, called triple stimulus continuous evaluation scale (TSCES), to allow the direct comparison of different HDTV formats. The method uses an upper picture quality anchor and a lower picture quality anchor with defined impairments. The HDTV format under test is evaluated in a subjective comparison with the upper and lower anchors. The method utilizes three displays in a particular vertical arrangement. In an initial series of tests with the novel method, the HDTV formats 1080p/50,1080i/25, and 720p/50 were compared at various bit-rates and with seven different content types on three identical 1920 times 1080 pixel displays. It was found that the new method provided stable and consistent results. The method was tested with 1080p/50,1080i/25, and 720p/50 HDTV images that had been coded with H.264/AVC High profile. The result of the assessment was that the progressive HDTV formats found higher appreciation by the assessors than the interlaced HDTV format. A system chain proposal is given for future media production and delivery to take advantage of this outcome. Recommendations for future research conclude the paper

On object-based compression for a class of dynamic image-based representations

An object-based compression scheme for a class of dynamic image-based representations called "plenoptic videos" (PVs) is studied in this paper. PVs are simplified dynamic light fields in which the videos are taken at regularly spaced locations along a line segment instead of a 2-D plane. To improve the rendering quality in scenes with large depth variations and support the functionalities at the object level for rendering, an object-based compression scheme is employed for the coding of PVs. Besides texture and shape information, the compression of geometry information in the form of depth maps is also supported. The proposed compression scheme exploits both the temporal and spatial redundancy among video object streams in the PV to achieve higher compression efficiency. Experimental results show that considerable improvements in coding performance are obtained for both synthetic and real scenes. Moreover, object-based functionalities such as rendering individual image-based objects are also illustrated. © 2005 IEEE.published_or_final_versio

Improved methods for object-based coding of plenoptic videos

2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2005), Hong Kong, 13-16 December 2005Plenoptic videos (PVs) are a class of dynamic image-based representations, where the videos are taken at regularly spaced locations along a line. To yield the better rendering quality in scenes with large depth variations and support the functionalities at the object level for rendering, an object-based coding scheme is employed for the coding of PVs. Upon this object-based coding framework, the paper studies the improved coding methods for the texture and depth coding to achieve better compression efficiency. Experimental results show that considerable improvements in texture coding performance are obtained for both synthetic and real scenes. The improved depth coding quality is also illustrated. © 2005 IEEE.published_or_final_versio