Adapting Video Delivery Based on Motion Triggered Visual Attention

• Main Authors: KALVA, Hari, Adzic, V., Cheok, Lai-Tee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Video coding; video delivery; video compression; visual attention; video quality; EEG; motion; algorithms; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/1902; https://ink.library.smu.edu.sg/context/sis_research/article/2901/viewcontent/Adzic_20et_20al_2012_Adapting_20video_20delivery_20based_20on_20motion_20triggered_20visual_20attention.pdf
• Institution: Singapore Management University

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.