Browsing by Author "Lai, PS"

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A fully automated web-based TV-News system
(2004)
Lai, PS
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Lai, LY
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Tseng, TC
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Chen, YH
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Fu, HC
This paper proposes a web-based multimedia TV-News system, which can records and analyzes news video to generate hierarchy news contents automatically. To achieve this goal, various neural network based techniques, including image processing, audio processing, and optical characters recognition are applied. Since July 2003, the multimedia TV-News system has been implemented and continuously been up running at http://nn.csie.nctu.edu.tw/TVNews/intro.htm for general public browsing and studying.
Automated information. mining on multimedia TV news archives
(2005)
Lai, PS
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Cheng, SS
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Sun, SY
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Huang, TY
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Su, JM
This paper addresses an integrated information mining techniques for multimedia TV-news archive. The utilizes techniques from the fields of acoustic, image, and video analysis, for information retrieval on news story title, newsman and scene identification. The goal is to construct a compact yet meaningful abstraction of broadcast news video, allowing users to browse through large amounts of data in a non-linear fashion with flexibility and efficiency. By using acoustic analysis, the system can classify video into news versus commercials, with 90% accuracy on a data set of 400 hours TV-news recorded off the air from July 2003 to August of 2004. By applying speaker identification and/or image detection techniques, each news stories can be segmented with an accuracy of 96%. On screen captions or subtitles are recognized by OCR techniques to produce the text title of each news stories. The extracted title words can be used to link or to navigate more related News contents on the WWW. In cooperation with facial and scene analysis and recognition techniques, OCR results can provide users with multimodality query for specific news stories. Some experimental results are presented and discussed for the system reliability and performance evaluation and comparison.
Face detection and eye localization by neural network based color segmentation
(2000)
Fu, HC
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Lai, PS
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Lou, RS
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Pao, HT
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資訊工程學系
This paper presents a neural network based scheme for human face detection and eye localization in color images under non-constrained scene. A Self-growing Probabilistic Decision-based Neural Network (SPDNN) is used to learn the conditional distribution for each color classes. Pixels of a color image are first classified into facial or non-facial regions, then pixels in the facial region are followed by eye region segmentation. The class of each pixel is determined by using the conditional distribution of the chrominance components of pixels belonging to each class. The paper demonstrates a successful application of SPDNN to face detection and eye localization on a database of 755 images from 151 persons. Regarding the performance, experimental results are elaborated in Section 3. As to the processing speed, the face detection and eye localization processes consume approximately 560 ms on a Pentium-II personal computer.
Multimedia TV news browsing system
(2004)
Xu, YY
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Chen, YH
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Tseng, CL
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Lai, PS
;
Fu, HC
In this demo, we present a system we have developed for automatic broadcast-quality video indexing that successfully combines results from the fields of speaker verification, acoustic analysis, very large vocabulary caption character recognition, content based sampling of video, information retrieval, dialogue systems, and ASF media delivery over IP. The prototype system of this demo is available at http://nn.csie.nctu.edu.tw/Project1-1/intruduction.htm.