A Personalized Refinement Technique for Semantic Multimedia Content Search in Smart TV

Abstract

The rapid spread of smart TV has enabled users to enjoy not only TV programs and VODs but also various multimedia services. However, due to the inconvenient input environment of smart TV in comparison to PC and the lack of a well-designed user interface, it is relatively difficult for users to freely search multimedia content in smart TV. In order to cope with this problem, a number of approaches using new equipment, smart devices, and hands-free controlling techniques have been proposed. However, their performance remains unsatisfactory. This paper proposes an efficient semantic analysis and personalized refinement technique for searching multimedia content in smart TV. This system makes it possible to provide more personal-tailored content to users with minimal input operations. For the search results from diverse multimedia content sharing sites, the proposed method semantically analyzes user information and multimedia content, and then measures the semantic relatedness among user's query, multimedia content, and user preference exploiting domain ontology. In order to provide accurate personalized results of the multimedia content search in smart TV, it carries out filtering, grouping, and ranking for the search results based on the semantic relatedness. The various experimental results show the effectiveness of the proposed approach(1).