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Concurrency and Computation: Practice and Experience. 01/2009; 21:691-704.
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Proceedings of the 17th International Conference on World Wide Web, WWW 2008, Beijing, China, April 21-25, 2008; 01/2008
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Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC 2008, Suwon, Korea, January 31 - February 01, 2008; 01/2008
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Concurrency and Computation: Practice and Experience. 01/2008; 20:753-782.
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ABSTRACT: When people realized that relational databases fall short in supporting advanced applications including multimedia data management due to the limited modeling power of the relational data model, researchers went ahead with devising semantic, object-oriented data models in the 80's (until early 90's). While the later commercial development of database systems has led to the so-called object- relational databases since late 90's, such a marriage of the two does not actually solve the problems encountered by multimedia data management. In this paper, we present a new semantic multimedia database model based on an extension to the traditional ANSI/SPARC three level architecture, attempting to cater for the unique requirements of multimedia data management. Various facilities of this semantic multimedia database model are described and discussed. A number of applications have been developed based on this new model, and in this paper we describe some of these including recipe modeling and graph mining for retrieval.
Semantics, Knowledge and Grid, Third International Conference on; 11/2007
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ABSTRACT: WWW has posed itself as the largest data repository ever available in the history of humankind. Utilizing the Internet as
a data source seems to be natural and many efforts have been made. In this paper we focus on establishing a robust system
to collect structured recipe data from the Web incrementally, which, as we believe, is a critical step towards practical,
continuous, reliable web data extraction systems and therefore utilizing WWW as data sources for various database applications.
The reasons for advocating such an incremental approach are two-fold: (1) it is impractical to crawl all the recipe pages
from relevant web sites as the Web is highly dynamic; (2) it is almost impossible to induce a general wrapper for future extraction
from the initial batch of recipe web pages. In this paper, we describe such a system called RecipeCrawler which targets at incrementally collecting recipe data from WWW. General issues in establishing an incremental data extraction
system are considered and techniques are applied to recipe data collection from the Web. Our RecipeCrawler is actually used as the backend of a fully-fledged multimedia recipe database system being developed jointly by City University
of Hong Kong and Renmin University of China.
06/2006: pages 263-274;
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2006 International Conference on Semantics, Knowledge and Grid (SKG 2006), 1-3 November 2006, Guilin, China; 01/2006
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Advances in Web-Age Information Management, 7th International Conference,WAIM 2006, Hong Kong, China, June 17-19, 2006, Proceedings; 01/2006
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Web Information Systems - WISE 2006, 7th International Conference on Web Information Systems Engineering, Wuhan, China, October 23-26, 2006, Proceedings; 01/2006
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ABSTRACT: Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are unpractical
to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics (ETS model)
for bridging the gap between low-level features and user queries. A Flash search engine is built based on the expressive semantics
of Flash movies and our experiment results confirm that expressive semantics is a promising approach to understanding and
hence searching Flash movies more efficiently.
08/2005: pages 591-591;
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ABSTRACT: As Flash, a relatively new rich media format, becomes more and more popular on the Web, the genre becomes increasingly important for Flash movie management as a complement to topical principles of classification. Genre classification can identify Flash movies authored in a style most likely to satisfy a user's information need. We present a method for detecting the Flash genre quickly and easily by employing a Bayesian approach. A feature set for representing genre information is proposed and used to build automatic genre classification algorithms. The performance of the proposed approach is evaluated by training a Bayesian classifier on real-world data sets. Classification results from our experiments on thousands of Flash movies demonstrate the usefulness of this approach
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on; 07/2004
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Advances in Web-Based Learning - ICWL 2004, Third International Conference, Beijing, China, August 8-11, 2004, Proceedings; 01/2004
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Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA, May 17-20, 2004; 01/2004
