Paper
15 October 2012 Adapting video delivery based on motion triggered visual attention
Velibor Adzic, Hari Kalva, Lai-Tee Cheok
Author Affiliations +
Abstract
Cues from human visual system (HVS) can be used for further optimization of compression in modern hybrid video coding platforms. We present work that explores and exploits motion related attentional limitations. Algorithms for exploiting motion triggered attention were developed and compared with MPEG AVC/H.264 encoder with various settings for different bitrate levels. For the sequences with high motion activity our algorithm provides up to 8% bitrate savings.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Velibor Adzic, Hari Kalva, and Lai-Tee Cheok "Adapting video delivery based on motion triggered visual attention", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84991L (15 October 2012); https://doi.org/10.1117/12.930527
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Computer programming

Video

Visualization

Video coding

Algorithm development

Data modeling

Motion models

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