Faculty Publications
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Publications by NITK Faculty
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Item An information theoretic similarity measure for unified multimedia document retrieval(Institute of Electrical and Electronics Engineers Inc., 2014) Pushpalatha, K.; Ananthanarayana, V.S.Due to the rapid evolution in multimedia technology, the multimedia data have been growing at a phenomenal rate. With the enormous amount of multimedia data, the richness of its information has raised the demand for sophisticated multimedia knowledge discovery systems. Multimedia documents requires distinct type of processing and knowledge discovery methods, due to the distinct characteristics of multimedia data. However, the individual processing and analyzing each type of multimedia data may make the system more tedious and complex. Also, the correlations between the contents of multimedia document are not considered in the knowledge extraction process. When the multimodal objects are represented in the unimodal domain, similar processing and knowledge discovery methods can be used. In this paper, a domain converting method is proposed with the aim to represent the multimedia document of multimodal objects as multimedia document of signal objects. In order to find the similarity between the multimedia documents, an information theory based similarity measure is proposed. Evaluation of the proposed framework has been performed by experimenting the system for the retrieval of multimedia documents. The proposed domain converting method presents the multimodal document in the unified representation. Experimental results of multimedia document retrieval shows better document retrieval rate with the proposed similarity measure. © 2014 IEEE.Item An unified approach for multimedia document representation and document similarity(Institute of Electrical and Electronics Engineers Inc., 2015) Pushpalatha, K.; Ananthanarayana, V.S.In the recent years, the evolution in multimedia technology has accelerated the growth of multimedia data. Even though the multimedia data are heterogeneous, the rich information they carry has made a high demand for sophisticated multimedia knowledge discovery systems. To mine the knowledge from multimedia document, each type of multimedia data has to undergo unique processing and knowledge discovery processes because of its uniqueness. However, this procedure of processing and analyzing each type of multimedia data separately may make the system more complicated in case of large databases. Alternatively, it will be more advantageous if heterogeneous objects are represented in a common domain, such that the similar processing and knowledge discovery methods can be used. Motivated by this concept, a method known as domain converter is proposed to represent the heterogeneous multimedia objects in a spatial domain. Also based on information theory, a similarity measure is proposed to find the similarity between the documents. To evaluate the proposed framework, the experiments have been conducted for the retrieval of multimedia documents. The proposed domain converter represents the multimedia document in a homogeneous domain, and with the proposed similarity measure, better document retrieval rate has been achieved. © 2014 IEEE.Item A generic approach to security evaluation for multimedia data(Association for Computing Machinery acmhelp@acm.org, 2015) Saha, G.; Bhat, T.; Chandrasekaran, K.Beginning with a critical analysis of existing multimedia metrics, this paper builds upon their drawbacks in streaming media by the introduction of alternate metrics, backed by analytical correctness proofs of accuracy and comparative simulation with earlier metrics to justify the improvements made in security judgement techniques.