NDLI: A framework for estimating geometric distortions in video copies based on visual-audio fingerprints

Content Provider	Springer Nature Link
Author	Roopalakshmi, R. Reddy, G. Ram Mohana
Copyright Year	2013
Abstract	Spatio-temporal alignments and estimation of distortion model between pirate and master video contents are prerequisites, in order to approximate the illegal capture location in a theater. State-of-the-art techniques are exploiting only visual features of videos for the alignment and distortion model estimation of watermarked sequences, while few efforts are made toward acoustic features and non-watermarked video contents. To solve this, we propose a distortion model estimation framework based on multimodal signatures, which fully integrates several components: Compact representation of a video using visual-audio fingerprints derived from Speeded Up Robust Features and Mel-Frequency Cepstral Coefficients; Segmentation-based bipartite matching scheme to obtain accurate temporal alignments; Stable frame pairs extraction followed by filtering policies to achieve geometric alignments; and distortion model estimation in terms of homographic matrix. Experiments on camcorded datasets demonstrate the promising results of the proposed framework compared to the reference methods.
Starting Page	201
Ending Page	210
Page Count	10
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	9
Issue Number	1
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2013-02-01
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Duplicate video Geometric distortions estimation Spatio-temporal frame alignments SURF MFCC DLT Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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