Searching Videos in Visual Semantic Spaces
Eric Zavesky, Zhu Liu, David C. Gibbon, Behzad Shahraray · 2010
This chapter, discusses the scores of a large set of semantic classifiers to enable the user to quickly navigate a large, diverse image database derived from captured broadcast television. It apply previous classifier methods presented in other works and focus on enabling user interaction over the automatically computed concept space. The chapter presents a brief introduction on visual semantics extraction technologies. It describes a sensible method for indexing and utilizing visual semantics. The chapter focus on visual semantics are employed to improve the video searching and browsing experience using a video management system, Miracle, as an example. Finally it contains concluding remarks. Controlled Vocabulary Terms semantic Web; video retrieval