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  • × author_ss:"Chua, T.-S."
  1. Chua, T.-S.; Ruan, L.-Q.: ¬A video retrieval and sequencing system (1995) 0.00 
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    Abstract
    Discusses the design and implementation of a frame based video retrieval and sequencing system. The system is designed to support the entire process of video information management: segmenting, indexing, retrieving and sequencing of video data. A semi automatic tool divides video sequences into meaningful shots. Each video shot is logged using text descriptions, audio dialogue, and cinematic attributes. A 2 layered, concept based model is used as the basis for accurately retrieving relevant video shots based on users' free text queries. A cinematic, rule based, virtual editing tool is used to sequence the video shots retrieved for presentation within a specific time constraint. The system has been successfully tested on a video documentary on the National University of Singapore
    Type
    a
  2. Ye, S.; Chua, T.-S.; Kan, M.-Y.; Qiu, L.: Document concept lattice for text understanding and summarization (2007) 0.00 
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    Abstract
    We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that can be preserved after summarization. Here, a concept refers to an abstract or concrete entity or its action often expressed by diverse terms in text. Summary generation can thus be considered as an optimization problem of selecting a set of sentences with minimal answer loss. In this paper, we propose a document concept lattice that indexes the hierarchy of local topics tied to a set of frequent concepts and the corresponding sentences containing these topics. The local topics will specify the promising sub-spaces related to the selected concepts and sentences. Based on this lattice, the summary is an optimized selection of a set of distinct and salient local topics that lead to maximal coverage of concepts with the given number of sentences. Our summarizer based on the concept lattice has demonstrated competitive performance in Document Understanding Conference 2005 and 2006 evaluations as well as follow-on tests.
    Type
    a
  3. Chua, T.-S.; Choo, C.-H.: Automatic generation and refinement of hypertext linkds (1995) 0.00 
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    Abstract
    Current hypertext systems suffer from the limitations that they are static in nature, and they do not support the automated process of link creation very well. Studies the development of automated tools to aid in the process of link creation, browsing, and link refinement. Only relation links are considered in the study. Automated tools are developed to help in 3 main stages of developing and using hypertext applications: during authoring to generate a set of relation links between pairs of nodes; during browsing to recommends an optimal set of starting nodes for the users to begin browsing, and to guide the users at each stage of browsing by suggesting a set of 'next' nodes to trverse; and during training to modify, remove and add links based on users' feedback data. Evaluation of the training procress indicates improved effectiveness of the hyperbase to support browsing
    Type
    a

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