Yongha Kim

대한민국 연락처
팔로워 459명 1촌 419명

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정보

Make and serve games.

활동

경력 및 학력

  • NEXON GAMES

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논문·저서

  • Generating globally unique identifiers for game objects (GPG6)

    Charles River Media

    Game Programming Gems series are well known guide books for advanced game programmers.
    I wrote an article in Networking Section of Game Programming Gems 6.

    논문·저서 보기

  • A Fast Vector Quantization using Subregion - based Caches of Codeword Indexes

    정보과학회논문지 : 소프트웨어 및 응용 제28권 제4호, 2001.4, 369-379 (11 pages)

    A fast codebook generation method using the sub-region based caches of codeword indexes is proposed for vector quantization. The proposed method exploits the localization property that the proximate input vectors are usually represented by a specific part of codewords in the codebook. Initially, all training input vectors are partitined into multiple disjoint subregions of input vectors according to their proximities. A cache of the codeword indexes is assigned to each individual subregion…

    A fast codebook generation method using the sub-region based caches of codeword indexes is proposed for vector quantization. The proposed method exploits the localization property that the proximate input vectors are usually represented by a specific part of codewords in the codebook. Initially, all training input vectors are partitined into multiple disjoint subregions of input vectors according to their proximities. A cache of the codeword indexes is assigned to each individual subregion, where the cache has a full size of codeword indexes in the very begining of learning and it maps the input vectors into the corresponding codewords through the codeword indexes. Due to the localization property, non-matched codeword indexes will be occurred and they are purged from the cache because they will not be refereneced any more. As the iteration goes on, a small number of codeword indexes that are referenced by the input vectors in the subregion are remained in the cache. The proposed scheme reduces the codebook generation time greatly because it computes the distortion with only relavant codeword indexes in the corresponding cache. It does not also degrade the recovered image quality too much because the purging policy is conservative and safe by discarding half of the non-matched codeword indexes at every iteration and the furthest codeword index from the prototype of the subregion first. Simulation results show that the proposed method speeds up the codebook generation time (or encoding time) by 2.6-5.4 times (or 3.7-18.8 times), respectively, than the LBG full search method, without sacrificing the recovered image quality.

    다른 저자
    • Dae-jin Kim
    • Sung-yang Bang
    논문·저서 보기

프로젝트

  • Project Rene

    -

    다른 리더

외국어

  • Korean

    원어민 수준

  • Japanese

    상급

  • English

    상급

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