On the promises of multimedia authoring

Information and Software Technology364243-245ISOT

The music collection

Artificial Intelligence792341-342AINT

Video parsing, indexing and retrieval system

Proceedings of the ACM International Multimedia Conference & Exhibition359-36021

Video parsing, retrieval and browsing: An integrated and content-based solution

Proceedings of the ACM International Multimedia Conference & Exhibition15-2421

An integrated system for content-based video retrieval and browsing

Pattern Recognition304643-658PTNR

Boosting cross-media retrieval by learning with positive and negative examples

Content-based cross-media retrieval is a new category of retrieval methods by which the modality of query examples and the returned results need not to be the same, for example, users may query images by an example of audio and vice versa. Multimedia Document (MMD) is a set of media objects that are of different modalities but carry the same semantics. In this paper, a graph based approach is proposed to achieve the content-based cross-media retrieval and MMD retrieval. Positive and negative examples of relevance feedback are used differently to boost the retrieval performance and experiments show that the proposed methods are very effective