Adapting Video Delivery Based on Motion Triggered Visual Attention

Adapting Video Delivery Based on Motion Triggered Visual Attention

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 MP...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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