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.
Video coding, video delivery, video compression, visual attention, video quality, EEG, motion, algorithms
SPIE Conference on Applications of Digital Image Processing
City or Country
San Diego, CA, USA
KALVA, Hari; Adzic, V.; and Cheok, Lai-Tee.
Adapting Video Delivery Based on Motion Triggered Visual Attention. (2012). SPIE Conference on Applications of Digital Image Processing. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1902