DocumentCode :
261428
Title :
Model optimization for model-based compression of real world video data
Author :
Feller, Christian ; Wuenschmann, Juergen ; Wagner, Raimar ; Rothermel, Albrecht
Author_Institution :
Inst. of Microelectron., Univ. of Ulm, Ulm, Germany
fYear :
2014
fDate :
7-10 Sept. 2014
Firstpage :
1
Lastpage :
5
Abstract :
The availability of affordable cameras with additional depth sensor boosted the advances in the field of Simultaneous Localization and Mapping (SLAM). This area of research addresses creating a 3D representation of unknown environment by fusing sensor information. Whereas a coarse representation suffices for navigational purposes, the resulting 3D models are not accurate enough to allow rendering a visually pleasing video stream based on the gathered information, when applying a model based video compression standard such as MPEG-4 Part 25. This publication focuses on increasing the accuracy of the created 3D models in order to improve the perceived quality when using model-based video coding and aims for performance comparable to hybrid video encoding.
Keywords :
cameras; data compression; image fusion; video coding; 3D models; 3D representation; MPEG-4 Part 25; SLAM; cameras; coarse representation; depth sensor; model based video compression standard; model optimization; model-based compression; model-based video coding; navigational purposes; perceived quality improvement; real world video data; sensor information fusion; simultaneous localization-and-mapping; unknown environment; visually pleasing video stream rendering; Accuracy; Cameras; Data models; Equations; Mathematical model; Solid modeling; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics ??? Berlin (ICCE-Berlin), 2014 IEEE Fourth International Conference on
Conference_Location :
Berlin
Type :
conf
DOI :
10.1109/ICCE-Berlin.2014.7034314
Filename :
7034314
Link To Document :
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