NDLI: Compressive video sensing based on user attention model

Content Provider	IEEE Xplore Digital Library
Author	Jie Xu Jianwei Ma Dongming Zhang Yongdong Zhang Shouxun Lin
Copyright Year	2010
Description	Author affiliation: School of Computational Science, Florida State University, Tallahassee, Florida, 32306, USA (Jianwei Ma) \|\| Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China (Jie Xu; Dongming Zhang; Yongdong Zhang; Shouxun Lin)
Abstract	We propose a compressive video sensing scheme based on user attention model (UAM) for real video sequences acquisition. In this work, for every group of consecutive video frames, we set the first frame as reference frame and build a UAM with visual rhythm analysis (VRA) to automatically determine region-of-interest (ROI) for non-reference frames. The determined ROI usually has significant movement and attracts more attention. Each frame of the video sequence is divided into non-overlapping blocks of 16×16 pixel size. Compressive video sampling is conducted in a block-by-block manner on each frame through a single operator and in a whole region manner on the ROIs through a different operator. Our video reconstruction algorithm involves alternating direction l1 — norm minimization algorithm (ADM) for the frame difference of non-ROI blocks and minimum total-variance (TV) method for the ROIs. Experimental results showed that our method could significantly enhance the quality of reconstructed video and reduce the errors accumulated during the reconstruction.
Starting Page	90
Ending Page	93
File Size	1521792
Page Count	4
File Format	PDF
ISBN	9781424471348
e-ISBN	9781424471355
DOI	10.1109/PCS.2010.5702586
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Image coding Video sequences user attention model Streaming media Sensors video ROI Image reconstruction Compressed sensing compressive sensing
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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