Walter Adams|Giridharan Iyengar|Ching?Yung Lin|Milind Naphade|C. Neti|Harriet J. Nock|J. R. Smith
Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues
IBM (United States)|IBM (United States)|IBM (United States)
present learningbased approach semantic indexing multimedia content using cues derived audio visual text features approach problem developing set statistical models predefined lexicon novel concepts mapped terms concepts lexicon achieve robust detection concepts exploit features multiple modalities namely audio video text concept representations modeled using gaussian mixture models gmm hidden markov models hmm support vector machines svm models bayesian networks svms used latefusion approach model concepts explicitly modeled terms features experiments indicate promise proposed classification fusion methodologies proposed fusion scheme achieves 10 relative improvement best unimodal concept detector