A content-adaptive scheme for reduced-complexity, multi-view video coding

Aykut Avci; Jan De Cock; Jelle De Smet; Youri Meuret; Peter Lambert; Herbert De Smet

doi:10.1117/12.912099

30 January 2012 A content-adaptive scheme for reduced-complexity, multi-view video coding

Aykut Avci, Jan De Cock, Jelle De Smet, Youri Meuret, Peter Lambert, Herbert De Smet

Proceedings Volume 8290, Three-Dimensional Image Processing (3DIP) and Applications II; 829014 (2012) https://doi.org/10.1117/12.912099
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

Disparity estimation is a highly complex and time consuming process in multi-view video encoders. Since multiple views taken from a 2D camerea array need to be coded at every time instance, the complexity of the encoder plays an important role besides its rate-distortion performance. In previous papers we have introduced a new frame type called D frame that exploits the stron geometrical correspondence between views, thereby reducing the complexity of the encoder. By employing D frames instead of some of the P frames in the prediction structure, significant compexity gain can be achieved if the trhreshold value which is a keystone element to adjust the complexity at the cost of quality and/or bit-rate is selected wisely. In this work, a new adaptive method to calculate the threshold value automatically from existing information during the encoding process is presented. In this method, the threshold values are generated for each block of each D frame to increase the accuracy. The algorithm is applied to several image sets and 20.6% complexity gain is achieved using the automatically generated threshold values without compromising qaulity or bit-rate.

Citation Download Citation

Aykut Avci, Jan De Cock, Jelle De Smet, Youri Meuret, Peter Lambert, and Herbert De Smet "A content-adaptive scheme for reduced-complexity, multi-view video coding", Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 829014 (30 January 2012); https://doi.org/10.1117/12.912099

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KEYWORDS

Computer programming

Cameras

Video

Image processing

Ions

Video coding

Video processing

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