學系成員

施皇嘉 教授

  • 學歷

    清華大學電機工程博士

    經歷

    -Senior member, IEEE, 2019~

    – 訪問教授, 美國華盛頓大學電機系.
    @美國07/2013~09/2013

    – 訪問教授, 匈牙利布達佩斯歐布達大學(Obuda University)
    @匈牙利07/2011~09/2011

    – 博士後研究員, 國立清華大學電機系.
    步伐辨識於視訊監控上之研究.
    @新竹04/2010~07/2010

    – 助理工程師, 工業技術研究院資通所前瞻技術中心.
    發展 MPEG-7 標準之視訊描述子及其應用於智慧型監控系統.
    應用於視訊搜尋之語意特徵截取及分類演算法研發.
    經濟部科專–無線射頻辨識系統關鍵技術發展計劃(over 100 million).
    @新竹01/2008~12/2008

    – 訪問學者, 訊號處理實驗室, 美國華盛頓大學電機系. (指導教授: 黃正能教授)
    研究主題在於以內容為導向之視訊搜尋技術.
    研究成果榮登於國際著名雜誌IEEE Multimedia 並獲選為特色文章.
    @美國09/2006~04/2007

    – 課程助教, 國立清華大學電機系.
    教導學生相關課程之基本概念與知識等技巧.
    科目:訊號與系統, 數位訊號處理, 數位影像處理, 圖形識別.
    @新竹 09/2001~08/2006

    – 研究助理, 國立清華大學電機系.
    執行相關專案之研發,程式開發, 論文撰寫及成果發表.
    @新竹 09/2000~08/2006

    – 暑期實習生, 工業技術研究院電通所.
    發展生物加解密之技術.
    @新竹 07/2002~08/2002

    – 實驗室工程師, 瑞柯科技公司.
    研發 IDE 介面程式以德州儀器之TI C6711 DSK 為發展平台完成即時之數位監控系統.
    桃園 06/2002~07/2004

    研究專長

    多媒體內容分析, 運動訊號分析

    影像與視訊處理,圖形識別,電腦視覺

    機器學習,大數據分析

    人機互動/物聯網

    ~~More information:
    http://oz.nthu.edu.tw/~d917904/yzu/researches.html

  • 期刊論文

    [1] H. C. Shih* and J. Y Chen, “MultiSkin Color Segmentation Through Morphological Model Refinement,” IEEE Transactions on Emerging Topics in Computational Intelligence, in press, 2019. (DOI: 10.1109/TETCI.2019.2892715)
    [2] H. C. Shih* and H. Y. Wang, “A Robust Object Verification Algorithm Using Aligned Chamfer History Image,” Multimedia Tools and Applications, vol. 78, no. 20, pp. 29343–29355, Oct. 2019. (DOI: 10.1007/s11042-019-7396-8) (SCI, EI)
    [3] S. W. Sun*, T. C. Mou, C. C. Fang, P. C. Chang, K. L. Hua, H. C. Shih, “Comprehensive Baseball Player Monitoring System via Deep LSTM with Multimodal Features,” Sensors, vol. 19, no 6, pp. 1425, Mar. 2019. (doi: 10.3390/s19061425) (SCI, EI)
    [4] H. Y. Cheng, C. C. Yu, C. L. Lin, H. C. Shih, and C. W. Kuo, “Ego-Lane Position Identification with Event Warning Applications,” IEEE Access, vol. 7, pp. 14378-14386, Mar. 2019. (DOI: 10.1109/ACCESS.2019.2893481) (SCI, EI)
    [5] H. C. Shih*, “A Survey of Content-aware Video Analysis for Sports,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 28, no. 5, pp. 1212-1231, May 2018. (SCI, EI) (20 pages, Open Access)
    [6] H. C. Shih*, C. T. Wang, and C. L. Huang, “Spiral-like Pixel Reconstruction Algorithm for Spatiotemporal Error Concealment,” IEEE Access, vol. 6, pp.6370-6381, Jan. 2018. (SCI, EI) (11 pages, Open Access)
    [7] S. H. Fang*, W. H. Chang, Y. Tsao, H. C. Shih, and C. Wang, “Channel State Reconstruction Using Multilevel Discrete Wavelet Transform for Improved Fingerprinting-Based Indoor Localization,” IEEE Sensors Journal, vol. 16, no. 21, pp. 7784-7791, Nov. 2016. (SCI, EI) (8 pages)
    [8] H. C. Shih* and E. R. Liu, “Automatic reference color selection for adaptive mathematical morphology and its application to image segmentation,” IEEE Trans. on Image Processing, vol. 25, no. 10, pp. 4665-4676, Oct. 2016. (SCI, EI) (12 pages)
    [9] H. C. Shih* and K. C. Yu, “A New Model-based Rotation and Scaling Invariant Projection Algorithm for Industrial Automation Application,” IEEE Trans. on Industrial Electronics, vol. 63, no. 7, pp. 4452-4460, Jul. 2016. (SCI, EI) (9 pages)
    [10] H. C. Shih* and E. R. Liu, “New Quartile‐Based Region Merging Algorithm for Unsupervised Image Segmentation Using Color-Alone Feature,” Information Sciences, vol. 342, pp. 24-36, May 2016. (SCI, EI) (13 pages)
    [11] H. C. Shih*, “A precise automatic system for the hair assessment in hair-care diagnosis applications,” Skin Research and Technology, vol. 21, no. 4, pp. 500-507, Nov. 2015. (SCI, EI) (8 pages)
    [12] H. C. Shih* and K. C. Yu, “SPiraL Aggregation Map (SPLAM): A new descriptor for robust template matching with fast algorithm,” Pattern Recognition, vol. 48, no. 5, pp. 1707-1723, May. 2015. (SCI, EI) (17 pages)
    [13] H. C. Shih*, “An Unsupervised Hair Segmentation and Counting System in Microscopy Images,” IEEE Sensors Journal, vol. 15, no. 6, pp. 3565-3572, June 2015. (SCI, EI) (8 pages)
    [14] H. C. Shih*, “A robust occupancy detection and tracking algorithm for the automatic monitoring and commissioning of a building,” Energy and Buildings, vol. 77, pp. 270-280, July 2014. (SCI, EI) (IF:2.679, Rank: 7/122(5.7%) in ENGINEERING, CIVIL) (11 pages)
    [15] H. C. Shih*, “A Novel Attention-Based Key-Frame Determination Method,” IEEE Trans. on Broadcasting, vol. 59, no. 3, pp. 556-562, Sept. 2013. (SCI, EI) (7 pages)
    [16] H. C. Shih*, “Robust Gender Classification using A Precise Patch Histogram,” Pattern Recognition, vol. 46, no. 2, pp. 519-528, Feb. 2013. (SCI, EI) (10 pages)
    [17] H. C. Shih*, C. L. Huang, and J. N. Hwang, “An Interactive Attention-Ranking System for Video Search,” IEEE MultiMedia, vol. 16, no. 4, pp. 70-80, Oct.-Dec. 2009. (SCI, EI) (12 pages)
    [18] H. C. Shih*, J. N. Hwang, and C. L. Huang, “Content-based Attention Ranking Using Visual and Contextual Attention Model for Baseball Videos,” IEEE Trans. on Multimedia, vol. 11, no. 2, pp. 244-255, Feb. 2009. (SCI, EI) (12 pages)
    [19] H. C. Shih*, C. L. Huang, “Content Extraction and Interpretation of Superimposed Captions for Broadcasted Sports Videos,” IEEE Trans. on Broadcasting, vol. 54, no. 3, pp. 333-346, Sept. 2008. (SCI, EI) (14 pages)
    [20] C. L. Huang*, H. C. Shih, and C. Y. Chao, “Semantic Analysis of Sports Video using Dynamic Bayesian Network,” IEEE Trans. on Multimedia, vol. 8, no. 4, pp. 749-760, Aug. 2006. (SCI, EI) (12 pages)
    [21] H. C. Shih* and C. L. Huang, “MSN: Statistical Understanding of Broadcasted Baseball Video Using Multi-Level Semantic Network,” IEEE Trans. on Broadcasting, vol. 51, issue 4, pp. 449-459, Dec. 2005. (SCI, EI) (11 pages)

  • 會議論文

    [1] H. C. Shih, H. Y. Cheng, and J. C. Fu, , “An Improved Local Ternary Pattern for Texture Classification,” IEEE ICIP, Taipei, Taiwan, Sept. 22-25, 2019. (Oral)
    [2] H. C. Shih, C. L. Lu, and C. H. Ma, “Square Puzzle Solving Using Border Compatibility Matching” IEEE AVSS workshop on CAVA, Taipei, Taiwan, Sept. 18-21, 2019. (Oral)
    [3] H. C. Shih and K. H. Ho, “Sports Video Segmentation Using Multi-model Content Analysis," Ubi-media workshop on MLMA 2019, Bali, Indonesia, August 6-9, 2019. (Oral)
    [4] H. C. Shih, C. L. Lu, and C. H. Ma, “Solving Jigsaw Puzzles via Hausdorff-based Border Compatibility,” IEEE MIPR, San Jose, USA, Mar 28-30, 2019. (Oral)
    [5] H. C. Shih, C. L. Lu, and C. H. Ma, “Divide-and-conquer Jigsaw Puzzle Solving,” IEEE VCIP 2019, Taichung, Taiwan. Dec. 9-12, 2018 (Demo).
    [6] Y. S. Lan, S. W Sun, H. C. Shih, K. L. Hua, and P. C. Chang , “O-Shooting: An Orientation-based Basketball Shooting Mixed Reality Game Based on Environment 3D Scanning and Object Positioning,” IEEE GCCE 2018, Nara, Japan. Oct. 9-12, 2018 (Poster). ///(Best poster award)///
    [7] C. H. Ma and H. C. Shih, “Human Skin Segmentation Using Fully Convolutional Neural Networks,” IEEE GCCE 2018, Nara, Japan. Oct. 9-12, 2018 (Oral). ///(Student paper award)///
    [8] H. C. Shih, C. H. Ma, “Hand gesture recognition using color-depth association for smart home,” IEEE IC3, Okinawa, Japan, Aug. 7-9, 2018 (Poster).
    [9] H. C. Shih, “A Survey of Content-Aware Video Analysis for Sports,” IEEE ISCAS, Florence, Italy, May 27-30, 2018. (Oral)
    [10] H. C. Shih and Chang-Hsian Ma, “Hand Segmentation with Skin Color Fine-Tuning Using Kinect Depth Sensor,” IEEE GCCE 2017, Nagoya, Japan, Oct. 24-27, 2017. (Oral)
    [11] H. C. Shih and Jian-Liang Lu, “Nonuniform Fragmented Piece Reconstruction Method Using a Texture-Based Patch-Matching Algorithm,” IEEE GCCE 2017, Nagoya, Japan, Oct. 24-27, 2017. (Demo)
    [12] H. C. Shih, Jian-Liang Lu, and Christine Wu, “JigsawGo: A Jigsaw Puzzle Restoration Game with A Robotic Arm,” ACM Ubicomp 2017, Maui, Hawaii, USA, Sept. 11-15, 2017. (Demo paper)
    [13] H. C. Shih and C. T. Wang, “A novel content-based pixel reconstruction scheme for error concealment application,” U-media 2016, Moscow, Russia, Aug. 2016. (Oral)
    [14] H. C. Shih, “Automatic Building Monitoring and Commissioning Via Human Behavior Recognition,” IEEE GCCE 2016, Kyoto, Japan, Oct. 2016. (Oral)
    [15] Jung-Yu Chen and H. C. Shih, “Dual-Bound-Constraints in Morphological Model Refinement for Multiple Skin Color Tones Detection,” IEEE-GCCE 2015, Osaka, Japan, Oct. 2015. (Oral) ///(Student paper award 1st prize)///
    [16] H. C. Shih and H.-Y. Wang, “Vehicle Identification Using Distance-based Appearance Model,” AVSS 2015, Karlsruhe, Germany, Aug. 2015. (Oral)
    [17] H. C. Shih and B. S. Lin, “Hair Segmentation and Counting Algorithms in Microscopy Image,”IEEE-ICCE15, Las Vegas, Jan. 2015. (Poster)
    [18] H. C. Shih and E. R. Liu, “Adaptive Region Merging Approach for Morphological Color Image Segmentation,” ACCV workshop on Feature and Similarity Learning for Computer Vision, Singapore, Nov. 2014. (Oral)
    [19] H. C. Shih and K. C. Yu , “ Spiral Projection Model (SPM): A New Descriptor for Robust Template Matching,” IEEE-SMC14, San Diego, Oct. 2014. (Oral)
    [20] H. C. Shih, “A Building Management System Using RGB-D Camera,” in Proc. of IMMM2014, July 2014. (Oral)
    [21] C. Li, Y. H. Liu, and H. C. Shih, “Adaptive Skin Color Tone Detection with Morphology-based Model Refinement”, in Proc. of ICICS 2013, Dec. 2013. (Oral)
    [22] H. C. Shih and B. S. Lin, “Image-based Hair Counting for Hair Care Diagnosis System,” the 3rd International Conference on Computational and Mathematical Biomedical Engineering (CMBE 2013), Dec. 2013. (Poster)
    [23] H. C. Shih and E. R. Liu, “Machine-to-machine Interaction Based on Remote 3D Arm Pointing Using Single RGBD Camera,” in Proc. of RAVA in conjunction with EMC 2013, Aug. 2013. (Oral)
    [24] W. Wu, H. C. Shih, and S. Z. Li, “Real-time Hand Segmentation from RGB-D Sensor,” International Conference of Machine Learning and Cybernetics (ICMLC 2013), July 2013. (Oral)
    [25] H. Y. Wang and H. C. Shih, “A Robust Vehicle Model Construction and Identification System,” in Proc. of IEEE International Symposium on Consumer Electronics (ISCE 2013), Jun. 2013. (Oral)
    ///(Best paper award)///
    [26] T. W. Kao and H. C. Shih, “ A Study on the Markerless Augmented Reality for Picture Books,” in Proc. of IEEE International Symposium on Consumer Electronics (ISCE 2013), Jun. 2013. (Oral)
    [27] H. C. Shih, “Multi-level Video Segmentation Using Visual Semantic Units,” in Proc. of the 31th IEEE International Conference on Consumer Electronics (ICCE 2013), Jan. 11-14, 2013, Las Vegas, USA. (Oral)

  • 研究計畫

    1. 施皇嘉, “Sports AI：運動影片分析技術之回顧及展望,” 影像與識別, , vol. 25, no. 1, 2019.
    2. Huang-Chia Shih, Video Understanding of Sports Programs Using Bayesian Belief Network, University of Tsing-Hua Master Dissertation, June 2002. (Advisor: Prof. Chung-Lin Huang)
    3. Huang-Chia Shih, A Study on Content-based Attention Ranking and In-game Stats Tagging for Sports Videos, University of Tsing-Hua Ph.D Dissertation, December 2008. (Advisors: Prof. Chung-Lin Huang and Prof. Jenq-Neng Hwang)


    [1] Huang-Chia Shih and Hao-You Wang, Method and System for Vehicle Identification, US Patent, US9,208,172 B2, 2015.
    [2] Huang-Chia Shih and Kuan-Chun Yu, Image Descriptor and Method of Pattern Recognition, US Patent, US9,613,398 B2, 2017.
    [3] Huang-Chia Shih and Kuan-Chun Yu, Image Description and Image Recognizable Method, US Patent, US9,697,438 B2, 2017.
    [4] Huang-Chia Shih and Hao-You Wang, Method and System for Vehicle Identification, ROC Patent, I-521448.
    [5] Huang-Chia Shih and Kuan-Chun Yu, Image Descriptor and Method of Pattern Recognition, ROC Patent, I-503760.
    [6] Huang-Chia Shih, A Method of Patch Reconstruction, ROC Patent, I-473035.
    [7] Huang-Chia Shih, Multimedia data appraisal method, ROC Patent, I-483130.
    [8] Huang-Chia Shih, Three-dimensional pointing control and interaction system, ROC Patent, 2017, I587175.
    [9] Huang-Chia Shih and Hao-You Wang, Method and System for Vehicle Identification, CN Patent, May 2018, CN2933490 B.
    [10] Huang-Chia Shih and Kuan-Chun Yu, Image Descriptor and Method of Pattern Recognition, CN Patent, May 2018, CN2933488 B.

  • 相關著作與專利

    1. 科技部未來科技獎, 2019.
    2. 最佳學生論文獎(指導),IEEE GCCE, 2018.
    3. 最佳海報論文獎, IEEE GCCE, 2018.
    4. 研究傑出獎,元智大學電通學院, 2018.
    5. 青年獎章, 救國團, 2017.
    6. 優秀青年電機工程師獎 中國電機工程學會, 2015/12
    7. 青年學者研究獎 元智大學,2015/4
    8. 科技部103年度補助大專校院獎勵特殊優秀人才 科技部, 2015/8.
    9. 科技部102年度補助大專校院獎勵特殊優秀人才 科技部, 2014/8.
    10. ACM台灣分會/資訊學會 李國鼎青年研究獎 (全國3名),2014/5.
    11. 財團法人潘文淵文教基金會 2013潘文淵考察研究獎(全國4名), 2013/5.
    12. Best paper award, ISCE 2013, IEEE CE Society (3 papers among 148), 2013/5.
    13. 獲【國科會100年度補助優秀青年學者專題計劃】之補助, 2011-2013.
    14. Featured Article, IEEE Computer Society, 2010.
    15. 最佳博士論文獎佳作, 中華民國影像處理與圖形識別學會, 2009.
    16. 獲菁英留學獎學金, 教育部, 2006.
    17. 英國文化大使(06-07 年度), 國際扶輪社, 2006.
    18. 台灣區唯一代表, 龍匯100 全球青年領袖論, 香港龍傳基金會, 2004.
    19. 中華扶輪教育基金會 碩(博)士獎學金, 2002.
    20. 優秀工程學生獎, 中國工程師學會, 2000.
    21. 大專優秀青年, 中國青年救國團, 2000.

  • 得獎事蹟

    1. 主持人/科技部專題研究計畫/基於人工智慧大數據資訊分析及關鍵運動參數擷取－棒球投打訓練最佳化及球員狀態快篩技術研發－基於人工智慧大數據資訊分析及關鍵運動參數擷取－棒球投打訓練最佳化及球員狀態快篩技術研發(2/4) 2019/08/01~2020/07/31 執行中
    2. 主持人/科技部專題研究計畫/基於人工智慧大數據資訊分析及關鍵運動參數擷取－棒球投打訓練最佳化及球員狀態快篩技術研發－基於人工智慧大數據資訊分析及關鍵運動參數擷取－棒球投打訓練最佳化及球員狀態快篩技術研發(1/4) 2018/11/01~2019/08/31 己結案
    3. 主持人/科技部專題研究計畫/群模共舞: 一個支持互動藝術和開放表演的擴增實境劇院－子計畫二：舞者與機器人同步及互動之即時協合表演 2018/08/01~2020/07/31 執行中
    4. 共同主持人/科技部專題研究計畫/群模共舞: 一個支持互動藝術和開放表演的擴增實境劇院－總計畫暨子計畫一：使用深度學習解譯即時樂器指法動作與詳細音樂表情 2018/08/01~2020/07/31執行中
    5. 主持人/科技部專題研究計畫/道路批次執法輔助系統開發 2017/08/01~2018/07/31 已結案
    6. 主持人/科技部專題研究計畫/視覺佔據偵測及行為分析在建築主動能源調控之應用 20160801~20170731 已結案
    7. 主持人/科技部專題研究計畫/基於ETC 計程收費執法攝影系統之車型建模及其應用於強建型車輛識別 103/8/1~105/7/31 已結案
    8. 主持人/ 大專學生參與專題研究計劃/以視覺方法實現自動全環境光照度估測之研究(陳琬庭 同學) 105/7/1~106/2/28 已結案
    9. 主持人/ 國科會專題研究計畫/在近乎黑暗下之智慧型人機互動與即時網路相關資訊分析及配置 102/08/1~104/07/31 已結案
    10. 主持人/ 國科會補助優秀青年學者研究計劃/一個智慧型人機互動機制:即時投影機為基礎的簡報助理 100/08/01~102/07/31 已結案
    11. 主持人/ 大專學生參與專題研究計劃/以內容為基礎的關鍵相片選取及自動相簿封面佈 101/7/1~102/2/28 已結案
    12. 主持人/ 國科會專題研究計畫/以人類生理感知特性為基礎的內容可伸縮適應性媒體播放系統之研究 991001~1000930 已結案
    13. 共同主持人/ 科學工業園區管理/科學工業園區研發精進產學合作計畫/ 99/10/1~100/9/30 已結案
    14. 主持人/ 教育部/補助大專校院辦理資訊軟體人才培育推廣計畫 991001~1010131 已結案

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