Parallel approach to incorporating face image information into dialogue processing

Fuji Ren

doi:10.1117/12.403607

9 October 2000 Parallel approach to incorporating face image information into dialogue processing

Fuji Ren

Proceedings Volume 4118, Parallel and Distributed Methods for Image Processing IV; (2000) https://doi.org/10.1117/12.403607
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

There are many kinds of so-called irregular expressions in natural dialogues. Even if the content of a conversation is the same in words, different meanings can be interpreted by a person's feeling or face expression. To have a good understanding of dialogues, it is required in a flexible dialogue processing system to infer the speaker's view properly. However, it is difficult to obtain the meaning of the speaker's sentences in various scenes using traditional methods. In this paper, a new approach for dialogue processing that incorporates information from the speaker's face is presented. We first divide conversation statements into several simple tasks. Second, we process each simple task using an independent processor. Third, we employ some speaker's face information to estimate the view of the speakers to solve ambiguities in dialogues. The approach presented in this paper can work efficiently, because independent processors run in parallel, writing partial results to a shared memory, incorporating partial results at appropriate points, and complementing each other. A parallel algorithm and a method for employing the face information in a dialogue machine translation will be discussed, and some results will be included in this paper.

Citation Download Citation

Fuji Ren "Parallel approach to incorporating face image information into dialogue processing", Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); https://doi.org/10.1117/12.403607

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KEYWORDS

Image processing

Data processing

Process modeling

Parallel computing

Associative arrays

Code division multiplexing

Data modeling

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