Publication Type
Conference Paper
Version
submittedVersion
Publication Date
8-2012
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.
Keywords
Video coding, video delivery, video compression, visual attention, video quality, EEG, motion, algorithms
Discipline
Software Engineering
Research Areas
Software Systems
Publication
SPIE Conference on Applications of Digital Image Processing
Identifier
10.1117/12.930527
Publisher
Wiley
City or Country
San Diego, CA, USA
Citation
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.
Available at: https://ink.library.smu.edu.sg/sis_research/1902
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1117/12.930527