Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Architecture. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH. VIDEOCASSETTE IN ARCHIVES AND ROTCH VISUAL COLLECTIONS. / M.S.

Traditional database systems manage data, but often do not address its provenance. In the past, users were often implicitly familiar with data they used, how it was created (and hence how it might be appropriately used), and from which sources it came. Today, users may be physically and organizationally remote from the data they use, so this information may not be easily accessible to them. In recent years, several models have been proposed for recording provenance of data. Our work is motivated by opportunities to make provenance easy to manage and query. For example, current approaches model provenance as expressions that may be easily stored alongside data, but are difficult to parse and reconstruct for querying, and are difficult to query with available languages. We contribute a conceptual model for data and provenance, and evaluate how well it addresses these opportunities. We compare the expressive power of our model's language to that of other models. We also define a benchmark suite with which to study performance of our model, and use this suite to study key model aspects implemented on existing software platforms. We discover some salient performance bottlenecks in these implementations, and suggest future work to explore improvements. Finally, we show that our implementations can comprise a logical model that faithfully supports our conceptual model.

No description available.

This thesis presents a research work based on an integrated multi-modal approach for sports video indexing and retrieval. By combining specific features extractable from multiple (audio-visual) modalities, generic structure and specific events can be detected and classified. During browsing and retrieval, users will benefit from the integration of high-level semantic and some descriptive mid-level features such as whistle and close-up view of player(s). The main objective is to contribute to the three major components of sports video indexing systems. The first component is a set of powerful techniques to extract audio-visual features and semantic contents automatically. The main purposes are to reduce manual annotations and to summarize the lengthy contents into a compact, meaningful and more enjoyable presentation. The second component is an expressive and flexible indexing technique that supports gradual index construction. Indexing scheme is essential to determine the methods by which users can access a video database. The third and last component is a query language that can generate dynamic video summaries for smart browsing and support user-oriented retrievals.

Richard A. Flower. / Originally presented as the author's thesis, (Ph.D.). M.I.T. Dept. of Electrical Engineering, 1974. / Bibliography: p. 66.

by Victor O.K. Li. / Bibliography: p. 22. / "July, 1981." / Office of Naval Research contract ONR/N 00014-77-C-0532 (NR 041-519)

Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

Thèse doctorat : Informatique : Villeurbanne, INSA : 2002. / Thèse rédigée en anglais. En annexe, résumé étendu en français. Le titre en français "Représentations condensées d'ensembles fréquents : application à la découverte de motifs descriptifs" n'apparait pas sur la thèse. Titre provenant de l'écran-titre. Bibliogr. p. 142-150.

Thesis (M.S.)--OGI School of Science and Engineering at OHSU, 2002.

Thesis (Ph. D.)--Stanford University, 1986. / Cover title. "March 1986." Includes bibliographical references.