Presentation | 1999/2/2 Video Coding based upon Learning Motion Vector Quantization Keiichirou HOSOISHI, Ryuji HAMABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have already proposed Learning Motion Vector Quantization (LMVQ) that can eliminate the optimal codebook design procedure on Motion Vector Quantization (MVQ). In addition to motion estimation, this LMVQ method is simultaneously to do the codebook learning according to the nature of input image. In this paper, we will show a learning method that refers to the frequency counters of codewords at codebook learning and report the simulation results employing the Flower Garden video data. In performance evaluation of motion compensation, the SNR of this method was better than that of MVQ. In comparison with MPEG-1, although the SNR or LMVQ was about 0.4dB poorer, we could achieve the significant results such as reducing the computer amount of motion compensation to 1/11 and shortening the total processing time to 33%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | video coding / motion vector quatization / learning vector quantization |
Paper # | EID98-157 |
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Committee | EID |
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Conference Date | 1999/2/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Electronic Information Displays (EID) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Video Coding based upon Learning Motion Vector Quantization |
Sub Title (in English) | |
Keyword(1) | video coding |
Keyword(2) | motion vector quatization |
Keyword(3) | learning vector quantization |
1st Author's Name | Keiichirou HOSOISHI |
1st Author's Affiliation | Department of Communication and Computer Engineering, Fukuoka Institute of Technology() |
2nd Author's Name | Ryuji HAMABE |
2nd Author's Affiliation | Department of Communication and Computer Engineering, Fukuoka Institute of Technology |
Date | 1999/2/2 |
Paper # | EID98-157 |
Volume (vol) | vol.98 |
Number (no) | 573 |
Page | pp.pp.- |
#Pages | 6 |
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