2012
DOI: 10.1017/atsip.2012.5
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FTV (free-viewpoint television)

Abstract: FTV (free-viewpoint television) is an innovative visual media that allows users to view a three-dimensional (3D) scene by freely changing their viewpoints. Thus, it enables realistic viewing and free navigation of 3D scenes. FTV is the ultimate 3DTV with infinite number of views and ranked at the top of visual media. FTV is not a conventional pixel-based system but a ray-based system. New types of ray capture, processing, and display technologies have been developed for FTV. These technologies were also used t… Show more

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Cited by 27 publications
(15 citation statements)
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“…In that sense, interactivity problem cannot be solved by simply sending reference viewpoints at strategical places. Other methods introduce high redundancy in the scene description by using a light field representation [27], [28]. They sample the navigation domain very finely, concatenate all the images and finally model the light rays of the scene.…”
Section: Introductionmentioning
confidence: 99%
“…In that sense, interactivity problem cannot be solved by simply sending reference viewpoints at strategical places. Other methods introduce high redundancy in the scene description by using a light field representation [27], [28]. They sample the navigation domain very finely, concatenate all the images and finally model the light rays of the scene.…”
Section: Introductionmentioning
confidence: 99%
“…The videos in this database are generated by simulating exploring trajectories that the observers may use in real scenarios, which are set by the Hypothetical Rendering Trajectory (HRT), defined in the following subsection. This database is named as 'Image, Perception and Interaction group Free-viewpoint video database' (IPI-FVV) 1 .…”
Section: On Perceived Qualitymentioning
confidence: 99%
“…patches with only smooth texture. One can calculate p 151 with 1 − i∈ (1,150) p i , since i∈(1,151) p i = 1. Finally, the output of these 151 classifiers are concatenated to form the ST vector so that with a given pixel (x, y), the corresponding patch can be represented as V (x, y) = (p 1 , p 2 , ..., p 151 ) and the set of classifiers as the universal codebook.…”
Section: B Sketch-token Based Spatial Dissimilaritymentioning
confidence: 99%
“…Thomas Maugey and Aline Roumy are with Inria Rennes Bretagne-Atlantique, Campus Universitaire de Beaulieu, 35042 Rennes Cedex, France, e-mail: {thomas.maugey,aline.roumy}@inria.fr Elsa Dupraz is with IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238, Technopôle Brest-Iroise, CS 83818, 29238 Brest cedex 03, France, e-mail: elsa.dupraz@imt-atlantique.fr Michel Kieffer is with Université Paris-Saclay, CNRS, Centrale-Supélec, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette, France, e-mail: michel.kieffer@l2s.centralesupelec.fr Examples of MRA applications are free-viewpoint television (FTV) [2], access to data collected by a network of sensors [3] or a crowd-sensing platform [4]. In these applications, the items of the database (e.g., the frames of a video, or the frames of the different views in multiview video, or the signals captured by different sensors) show strong correlations with each other.…”
Section: Introductionmentioning
confidence: 99%