Please use this identifier to cite or link to this item:
https://idr.l1.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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.