DocumentCode
265745
Title
Optimal multiuser spread-spectrum data embedding in video streams
Author
Lili Wei ; Hu, Rose Qingyang ; Pados, Dimitris A. ; Geng Wu
Author_Institution
Mobile & Commun. Group, Intel Corp., Santa Clara, CA, USA
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
764
Lastpage
769
Abstract
In this paper, we intend to hide multiuser data in a given host video stream with imperceptible spread-spectrum embedding. First, host video frames are picked in the original given video stream according to a frame selection pattern. We partition each host video frame into many small blocks. Based on a two-dimensional transformation of each small block and zigzag scanning, we construct the host video vectors. The embedded message for each user will be spread out with a signature and added to the host vectors. We present the orthonormal signature set of embedding carriers that achieves maximum sum signal-to-interference-plus-noise ratio (sum-SINR) at the linear filter output for any fixed embedding amplitudes. Then, for any given total embedding distortion constraint, we give the optimal multi-signature assignment and amplitude allocation pair that maximizes the sum capacity of the concealment procedure. Numerical results demonstrate the effectiveness of the proposed optimal data embedding methods in video streams.
Keywords
embedded systems; signal processing; video streaming; embedded message; embedding carriers; fixed embedding amplitudes; frame selection pattern; host video frames; host video vectors; linear filter; multisignature assignment; optimal multiuser spread spectrum data; orthonormal signature set; spread spectrum embedding; sum signal-to-interference-plus-noise ratio; sum-SINR; video streams; zigzag scanning; Correlation; Information systems; Interference; Security; Signal to noise ratio; Streaming media; Vectors; Covert communications; code-division multiplexing; data concealment; data embedding; multiuser communications; sum capacity; video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7036900
Filename
7036900
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