Browsing by Author "Chen Yi-Wen"

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AUTOMATIC PATENT TRANSACTION SYSTEM
(2011-12-08)
LEE Chen-Yi
;
Huang Ching-Yao
;
Chang Chih-Hua
;
Wu Chih-Wei
;
Wu I-Ju
The invention discloses an automatic patent transaction system. The invention comprises a patent database, a member database, a match computing device, a share computing device, a non-member database, and a licensing and transacting computing device. The operation method of the invention also comprises a method for the participation of member and non-member, and a method for the participation of member only. Thus, the invention is able to increase the trade efficiency of the patent and reduce the trade cost of the patent.
Frame prediction system and prediction method thereof
(2013-11-05)
Peng Wen-Hsiao
;
Chen Yi-Wen
A frame prediction system and a prediction method thereof. An initializing module initializes a first image block having a plurality of pixels. A providing module provides a first centroid and a first motion vector of a second image block. The location lookup module finds a location according to the first centroid, and generates a first weight and a second weight respectively according to a relationship between each of the pixels, the first centroid and the location. A vector lookup module finds a second motion vector, which gives a minimum pixel intensity error for the plurality of pixels in the first image block according to the first centroid, the first motion vector, the location, the first weight and the second weight. A processing module sequentially calculates a plurality of predictive intensity values according to the motion vectors and the weights.
Human identification system by fusion of face recognition and speaker recognition, method and service robot thereof
(2014-11-04)
Song Kai-Tai
;
Chien Shuo-Cheng
;
Lin Chao-Yu
;
Chen Yi-Wen
;
Chen Sin-Horng
The present invention discloses a human identification system by fusion of face recognition and speaker recognition, a method and a service robot thereof. The system fuses results of the face recognition and the speaker recognition, and further uses confidence index to estimate the confidence level of the two recognition results. If only one of the confidence indices of the two recognition results reaches the threshold, then only this result is used as the output. If both confidence indices of the two recognition results reach the threshold, then the two recognition results are fused to output as a final result.