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Effective encoding and indexing of audiovisual documents are two key aspects for enhancing the multimedia user experience. In this paper we propose the embedding of low-level content descriptors into a scalable video-coding bit-stream by jointly optimizing encoding and indexing performance. This approach provides a new type of bit-stream where part of the information is used for both content encoding...
In this paper we propose a fast and simple method to index and search for dialogues in a video database. Dialogues are indexed relying only on the typical dialogue scene structure, which has been modeled using a statistical framework. The related entropy rate is chosen as a compact index for capturing the specificity of the scene structure. Specifically, entropy rate effectively represents the number...
In this paper we propose a method to retrieve video stories from a database. Given a sample story unit, i.e., a series of contiguous and semantically related shots, the most similar clips are retrieved and ranked. Similarity is evaluated on the story structures, and it depends on the number of expressed visual concepts and the pattern in which they appear inside the story. Hidden Markov models are...
A framework, called Table of Content-Analytical Index (ToCAI), for the content description of multimedia material is presented. The idea for such a description scheme (DS) comes out from the structures used for indexing technical books (containing a Table of Content, typically placed at the beginning of the book, where the list of topics is organized hierarchically into chapters, sections, and an...
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