Conference Papers

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    Clustering web page sessions using sequence alignment method
    (2011) Poornalatha, G.; Raghavendra, S.R.
    This paper illustrates clustering of web page sessions in order to identify the users' navigation pattern. In the approach presented here, user sessions of variable lengths are compared pair wise, numbers of alignments are found between them and the distances are measured. Web page sessions are clustered by employing the modified k-means algorithm. A couple of web access logs including the well known NASA data set are used to illustrate the effectiveness of the clustering. R-squared measure is applied to determine the optimal number of clusters and chi-squared test is carried out to see the association between the various web page sessions that are clustered. These two measures show the goodness of the clusters formed. © 2011 Springer-Verlag.
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    Robust features for accurate spatio-temporal registration of video copies
    (2012) Roopalakshmi, R.; Guddeti, G.
    Pirate copies of movies are proliferating on the Internet and causing huge piracy issues. Any anti-piracy strategy requires not only copy detection but also precise frame alignment of pirate video with master content, prior to the estimation of geometric distortions and capture location in a theater. Most studies in pirate video registration focus on the alignment of watermarked sequences, while few efforts are made to align non-watermarked videos using content-based features. In this paper, we propose a spatio-temporal scheme for aligning pirate and master contents using visual features, which consists of three stages: First, a video sequence is compactly represented using 1-D SURF (Speeded-Up Robust Features) signatures; Second, temporal frame alignments are computed using sliding window based dynamic programming method; Third, robust SURF descriptors are employed to generate spatial frame alignments. The results demonstrate the improved registration accuracy of the proposed method against various transformations. © 2012 IEEE.