Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/9598
Title: A framework for estimating geometric distortions in video copies based on visual-audio fingerprints
Authors: Roopalakshmi, R.
Ram Mohana Reddy, Guddeti
Issue Date: 2015
Citation: Signal, Image and Video Processing, 2015, Vol.9, 1, pp.201-210
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. 2013, Springer-Verlag London.
URI: 10.1007/s11760-013-0424-7
https://idr.nitk.ac.in/jspui/handle/123456789/9598
Appears in Collections:1. Journal Articles

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