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YANAI Lab

Yanai Laboratory, Department of Computer Science, The University of Electro-Communications, Tokyo
Publication > Yanai Lab > Department of Computer Science > The Univsity of Electro-Communications  
Automatically generated version (with paper and slide PDF files)

Refereed Papers

2017

  • Shin Matsuo, Wataru Shimoda and Keiji Yanai: Partial Style Transfer Using Weakly-Supervised Semantic Segmentation, Proc. ICME Workshop on Multimedia Artworks Analysis (MMArt), Hong Kong (2017/07).
  • Keiji Yanai and Ryosuke Tanno: Conditional Fast Style Transfer Network, Proc. of ACM International Conference on Multimedia Retrieval (ICMR), Bucharest, Romania (2017/06).
  • Takumi Ege and Keiji Yanai: Simultaneous Estimation of Food Categories and Calories with Multi-task CNN, Proc. of IAPR International Conference on Machine Vision Applications (MVA), Nagoya, Japan (2017/05).
  • Keiji Yanai: Unseen Style Transfer Based on a Conditional Fast Style Transfer Network, Proc. International Conference on Learning Representation Workshop Track (ICLR WS), Toulon, France (2017/04). (paper)
  • Shin Matsuo, Wataru Shimoda and Keiji Yanai: Twitter Photo Geo-Localization Using Both Textual and Visual Features, Proc. of International Conference on Multimedia Big Data (BIGMM), Laguna Hills, CA, USA (2017/04).
  • Wataru Shimoda and Keiji Yanai: Learning Food Image Similarity for Food Image Retrieval, Proc. of International Conference on Multimedia Big Data (BIGMM), Laguna Hills, CA, USA (2017/04).
  • Ryosuke Tanno and Keiji Yanai: DeepStyleCam:DeepStyleCam: A Real-time Style Transfer App on iOS, Proc. of International Conference on Multimedia Modelling (MMM), Reykjavik, Iceland (2017/01). (Best Demo Award)

2016

  • Do Hang Nga and Keiji Yanai: Automatic Retrieval of Action Video Shots from the Web using Density-based Cluster Analysis and Outlier Detection, IEICE Transactions on Information and Systems, Vol. E99-D, No.11, pp.- (2016/11).
  • Takamu Kaneko and Keiji Yanai: Event Photo Mining from Twitter Using Keyword Bursts and Image Clustering, Neurocomputing, Elsevier, Vol.172, pp.143–158 (2016/08). (http://dx.doi.org/10.1016/j.neucom.2015.02.081) (pre-print)
  • Wataru Shimoda and Keiji Yanai: Weakly-Supervised Segmentation by Combining CNN
    Feature Maps and Object Saliency Maps
    , Proc. of IAPR International Conference on Pattern Recognition (ICPR), Cancun, Mexico (2016/12).
  • Wataru Shimoda and Keiji Yanai: Distinct Class Saliency Maps for Weakly Supervised Semantic Segmentation, Proc. of European Conference on Computer Vision (ECCV), Amsterdam, Netherlands (2016/10).
  • Wataru Shimoda and Keiji Yanai: Foodness proposal for webly supervised food detection, Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), Amsterdam, Netherlands (2016).
  • Koichi Okamoto and Keiji Yanai: An Automatic Calorie Estimation System of Food Images on a Smartphone, Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), Amsterdam, Netherlands (2016).
  • Ryosuke Tanno, Koichi Okamoto, Keiji Yanai: DeepFoodCam: A DCNN-based Real-time Mobile Food Recognition System, Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), demo paper, Amsterdam, Netherlands (2016).
  • Keiji Yanai, Ryosuke Tanno and Koichi Okamoto: Effective Mobile Implementation of A CNN-based Object Recognition System, Proc. of ACM Multimedia, Amsterdam, Netherlands (2016/10).
  • Shin Matsuo and Keiji Yanai: CNN-based Style Vector for Style Image Retrieval, Proc. of International Conference on Multimedia Retrieval (ICMR), New York, NY, USA (2016/06).
  • Takao Kakimori, Makoto Okabe, Keiji Yanai, Rikio Onai: A System to Help Amateurs Take Pictures of Delicious Looking Food, Proc. of IEEE BigMM Workshop on Attractiveness Computing, Taipei, Taiwan (2016/05).
  • Keiji Yanai and Takamu Kaneko: Visual Event Mining from the Twitter Stream, Proc. of the Twelfth International World Wide Web Conference (WWW), Poster Paper, Montreal, Canada (2016/04).
  • Koichi Okamoto and Keiji Yanai: GrillCam: A Real-time Eating Action Recognition System, Proc. od International Conference on Multimedia Modelling (MMM), Miami, FL, USA (2016/01).

2015

  • Keiji Yanai: A Review of Web Image Mining, ITE Transactions on Media Technology and Applications, Vol.3, No.3, pp.156-169 (2015/07). (open acess at J-Stage) (invited paper)
  • Yoshiyuki Kawano and Keiji Yanai, FoodCam: A Real-time Food Recognition System on a Smartphone, Multimedia Tools and Applications, Springer, Vol. 74, Issue 14, pp.5263-5287 (2015/07). (http://dx.doi.org/10.1007/s11042-014-2000-8) (pre-print)
  • Yoshiyuki Kawano and Keiji Yanai: Automatic Expansion of a Food Image Dataset Leveraging Existing Categories and Crowdsourcing, IEICE Transactions on Information and Systems, D-II, Vol. J98-D, no.4 (2015/04). (in Japanese)
  • Do Hang Nga and Keiji Yanai:VisualTextualRank: An Extension of VisualRank to Large-Scale Video Shot Extraction exploiting Tag Co-occurrence, IEICE Transactions on Information and Systems, Vol. E98-D, No.1, pp.166-172 (2015/01). (http://dx.doi.org/10.1587/transinf.2014EDP7106)
  • Yasuki Mukai and Keiji Yanai: Automamtic Construction of Geotagged Travel Movie Databases from TV Travel Programs, IEICE Transactions D-II, vol. J98-D, no.1,pp.269-274 (2015/01). (in Japanese)
  • Takao Kakimori, Makoto Okabe, Keiji Yanai and Rikio Onai: A system to support the amateurs to take a delicious-looking picture of foods, Proc. of SIGGRAPH ASIA Symposium on Mobile Graphics and Interactive Applications, Kobe, Japan (2015/11).
  • Yoshiyuki Kawano and Keiji Yanai: Low-Bit Representation of Linear Classifier Weights for Mobile Large-Scale Image Classification, Proc. of Asian Conference on Pattern Recognition (ACPR), Kuala Lumpur, Malaysia (2015/11).
  • Nga Do and Keiji Yanai: Automatic Action Dataset Construction from Web using Density-based Cluster Analysis and Outlier Detection, Proc. of Pacific Rim Symposium on Image and Video Technology (PSIVT), Auckland, New Zealand (2015/11).
  • Wataru Shimoda and Keiji Yanai: CNN-Based Food Image Segmentation, Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA), Genova, Italy (2015/09).
  • Takamu Kaneko, Nga Do Hang, Keiji Yanai : Twitter Event Photo Detection Using Geotagged Tweets and Non-geotagged Photo Tweets, Proc. of Pacific-Rim Conference on Multimedia (PCM), Gwanju, Korea (2015/09).
  • Wataru Shimoda, Keiji Yanai: A Visual Analysis on Recognizability and Discriminability of Onomatopoeia Words with DCNN Features, Proc. of IEEE International Conference on Multimedia and Expo (ICME), Torino, Italy (2015/06).
  • Keiji Yanai, Yoshiyuki Kawano: Food Image Recognition using Deep Convolutional Network with Pre-training and Fine-tuining, Proc. of ICME Workshop on Multimedia for Cooking and eating Activities (CEA), Trino, Italy (2015/06).

2014

  • Masaya Okamoto and Keiji Yanai: Summarization of Egocentric Moving Videos for Generating Walking Route Guidance Videos, IEICE Transactions D-II, Vol.J97-D, No.8, pp.1237-1249 (2014/08) (in Japanese).
  • Yoshiyuki Kawano and Keiji Yanai: ILSVRC on a Smartphone, IPSJ Transaction on Computer Vision and Applications, Vol.6, pp.83-87 (2014/07).
  • Keiji Yanai, Takamu Kaneko and Yoshiyuki Kawano: Real-time Photo Mining from the Twitter Stream: Event Photo Discovery and Food Photo Detection, Proc. of IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan (2014/12). (invited paper)
  • Mizuki Akiyama, Yoshiyuki Kawano and Keiji Yanai: Object Categorization by Local Feature Matching with a Large Number of Web Images, Proc. of PCM Workshop on Multimedia Big Data Analytics (MBDA), (2014/12).
  • Keiji Yanai and Yoshiyuki Kawano: Real-time Food Image Mining and Analysis from the Twitter, Proc. of Pacific-Rim Conference on Multimedia (PCM), Kuching, Malaysia (2014/12).
  • Do Hang Nga and Keiji Yanai: Hand detection and tracking in videos for finegrained action recognition, Proc. of ACCV Workshop on Human Gait and Action Analysis in the Wild: Challenges and Applications, Singapore (2014/11).
  • Yoshiyuki Kawano and Keiji Yanai: FoodCam-256: A Large-scale Real-time Mobile Food Recognition System employing High-Dimensional Features and Compression of Classifier Weights, Proc. of ACM Multimedia, demo paper, Orland, FL, USA (2014/11).
  • Yoshiyuki Kawano and Keiji Yanai: Food Image Recognition with Deep Convolutional Features, Proc. of ACM UbiComp Workshop on Smart Technology for Cooking and Eating Activities (CEA), Seattle, WA, USA (2014/09).
  • Yoshiyuki Kawano and Keiji Yanai: Automatic Expansion of a Food Image Dataset Leveraging Existing Categories with Domain Adaptation, Proc. of ECCV Workshop on on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), Zurich, Switzerland (2014/09).
  • Koichi Okamoto and Keiji Yanai: Real-Time Eating Action Recognition System on A Smartphone, Proc. ICME WS on Mobile Multimedia Computing, Chengdu, China (2014/07). (invited paper)
  • Yoshiyuki Kawano and Keiji Yanai: Offline 1000 Class Classification on a Smartphone,
    Proc. of IEEE CVPR International Workshop on Mobile Vision, Columbus, OH, USA (2014/06).
  • Do Hang Nga and Keiji Yanai: A Dense SURF and Triangulation based Spatio-Temporal Feature for Action Recognition, Proc. of Multimedia Modeling Conference (MMM), Dublin, Ireland (2014/01).
  • Yoshiyuki Kawano and Keiji Yanai: FoodCam: A Real-time Mobile Food Recognition System employing Fisher Vector, Proc. of Multimedia Modeling Conference (MMM), Demo Paper, Dublin, Ireland (2014/01). (Best Demo Award)

2013

  • Do Hang Nga and Keiji Yanai: Automatic Extraction of Relevant Video Shots of Specific Actions Exploiting Web Data, Computer Vision and Image Understanding (2013) (PDF) (http://dx.doi.org/10.1016/j.cviu.2013.03.009)
  • Yuji Matsuda and Keiji Yanai: Multiple-Food Image Recognition Considering Co-occurrence, IEICE Transactions D-II, Vol.J96-D, No.8, pp.1724-1730 (2013/08) (in Japanese).
  • Do Hang Nga and Keiji Yanai: A Spatio-Temporal Feature based on Triangulation of Dense SURF, Proc. of ICCV Workshop on Action Recognition with a Large Number of Classes, Sydney, Australia (2013/12).
  • Yoshiyuki Kawano and Keiji Yanai: Rapid Mobile Food Recognition using Fisher Vector, Proc. of Asian Conference on Pattern Recognition (ACPR), Naha, Okinawa, Japan (2013/11). (PDF, UEC-FOOD 100 data set)
  • Masaya Okamoto and Keiji Yanai: Summarization of Egocentric Moving Videos for Generating Walking Route Guidance, Proc. of Pacific-rim Symposium on Image and Vision Technology (PSIVT), Guanajuato, Mexico (2013/10).
  • Do Hang Nga and Keiji Yanai: Large-scale Web Video Shot Ranking Based on Visual Features and Tag Co-occurrence, Proc. of ACM Multimedia, Barcelona, Spain (2013/10).
  • Yoshiyuki Kawano, Takanori Sato, Takuma Maruyama, Keiji Yanai: MIRURECIPE: A Mobile Cooking Recipe Recommendation System with Food Ingredient Recognition, Proc. of International Conference on Multimedia and Expo, Demo Paper, San Jone, CA, USA (2013/07).
  • Takamu Kaneko, Hiroyoshi Harada, Keiji Yanai: Twitter Visual Event Mining System, Proc. of International Conference on Multimedia and Expo, Demo Paper, San Jone, CA, USA (2013/07).
  • Takamu Kaneko and Keiji Yanai: Visual Event Mining from Geo-Tweet Photos, Proc. of ICME WS on Social Multimedia Research, San Jone, CA, USA (2013/07).
  • Yoshiyuki Kawano and Keiji Yanai: Real-time Mobile Food Recognition System, Proc. of CVPR WS on Mobile Vision, Portland, OR, USA (2013/06).
  • Yuya Kohaya and Keiji Yanai: Visual Analysis of Tag Co-occurrence on Nouns and Adjectives, Proc. of Multimedia Modelling Conference (MMM), Huangshan, China (2013/01).

2012

  • Yuji Matsuda, Hajime Hoashi and Keiji Yanai: Recognition of Multiple-Food Images by Detecting Candidate Regions, IEICE Transactions D-II, Vol.J95-D No.8, pp.1554-1564 (2012/08) (in Japanese).
  • Keiji Yanai, Hidetoshi Kawakubo and Kobus Barnard: Entropy-based Analysis of Visual Concepts, In "Multimedia Information Extraction", Wiley-IEEE Computer Society Press, (2012/05) .
  • Yuji Matsuda and Keiji Yanai: Multiple-Food Recognition Considering Co-occurrence employing Manifold Ranking, Proc. of IAPR International Conference on Pattern Recognition (ICPR), Tsukuba, Japan (2012/11). (PDF) (UEC-FOOD 100 data set)
  • Takuma Maruyama and Keiji Yanai: Real-time Mobile Recipe Suggestion System using Food Ingredient Recognition, ACM MM WS on Interactive Multimedia on Mobile and Portable Devices (IMMPD), Nara, Japan (2012/11).
  • Yusuke Nakaji and Keiji Yanai: Visualization of Real-World Events with Tweet Photos, Proc. of IEEE ICME Workshop on Social Media Computing, Melbourn, Australia (2012/07).
  • Yuji Matsuda and Keiji Yanai: Recognition of Multiple Food Images by Detecting Candidate Regions, Proc. of IEEE International Conference on Multimedia and Expo (ICME), Melbourn, Australia (2012/07).
  • Do Hang Nga and Keiji Yanai: Automatic Collection ofWeb Video Shots Corresponding to Specific Actions using Web Images, Proc. of IEEE CVPR Workshop on Large-Scale Video Search and Mining, Province, USA (2012/06)
  • Keiji Yanai: World Seer : A Realtime Geo-Tweet Photo Mapping System, Proc. of ACM International Conference on Multimedia Retrieval (ICMR), Demo Paper, Hong Kong (2012/06).

2011

  • Yuta Akima, Hidetoshi Kawakubo, Keiji Yanai: Folksonomy-Based Automatic Construction of Visual Ontology Using Visual Features and Tag Co-occurrence, IEICE Transactions D-II, Vol.J94-D No.8, pp.1248-1259 (2011/08) (in Japanese).
  • Kohya Okuyama and Keiji Yanai: A Travel Planning System Based on Travel Trajectories Extracted from a Large Number of Geotagged Photos on the Web, Proc. of Pacific-Rim Conference on Multimedia, Sydney, Australia (2011/12).
  • Do Hang Nga and Keiji Yanai: Automatic Construction of an Action Video Shot Database using Web Videos, Proc. of IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain (2011/11). (PDF)
  • Hidetoshi Kawakubo and Keiji Yanai: GeoVisualRank: A Ranking Method of Geotagged Images Considering Visual Similarity and Geo-location Proximity, Proc. of the Nineteenth International World Wide Web Conference (WWW), Poster Paper, Hyderabad, India (2011/03). (PDF)

2010

  • Hidetoshi Kawakubo, Yuuta Akima and Keiji Yanai: Automatic Construction of A Folksonomy-based Visual Ontology, Proc. of the Sixth IEEE International Workshop on Multimedia Information Processing and Retrieval (MIPR), Taichu, Taiwan (2010/12).
  • Hajime Hoashi, Taichi Joutou and Keiji Yanai: Image Recognition of 85 Food Categories by Feature Fusion, Proc. of the Second Workshop on Multimedia for Cooking and Eating Activities, Taichu, Taiwan (2010/12).
  • Keita Yaegashi and Keiji Yanai: Geotagged Image Recognition by Combining Three Different Kinds of Geolocation Features, Proc. of Asian Conference on Computer Vision (ACCV), Queenstown, New Zealand (2010/11). (PDF)
  • Akitsugu Noguchi and Keiji Yanai: A SURF-based Spatio-Temporal Feature for Feature-fusion-based Action Recognition, Proc. of ECCV WS on Human Motion: Understanding, Modeling, Capture and Animation, Crete, Greece (2010/09). (PDF)
  • Keita Yaegashi and Keiji Yanai: Geotagged Photo Recognition using Corresponding Aerial Photos with Multiple Kernel Learning, Proc. of IAPR International Conference on Pattern Recognition (ICPR), Istanbul, Turkey (2010/08).
  • Keiji Yanai and Bingyu Qiu: Mining Regional Representative Photos from a Consumer-Generated Geotagged Photo Database, In "Handbook of Social Network Technologies and Applications", Springer, (2010/10).
  • Taichi Joutou, Hajime Hoashi, Keiji Yanai: 50-Class Food-Image Recognition Employing Multiple Kernel Learning, IEICE Transactions D-II, Vol.J93-D No.8, pp.1397-1406 (2010/08) (in Japanese).
  • Hidetoshi KAWAKUBO, Keiji YANAI: An Analysis of the Relation between Visual Concepts and Geo-Locations, IEICE Transactions D-II, Vol.J93-D No.8, pp.1417-1428 (2010/08) (in Japanese).
  • Keiji Yanai and Kobus Barnard: Region-based Automatic Web Image Selection, Proc. of ACM International Conference on Multimedia Information Retrieval (MIR), Philadelphia, USA (2010/03).
  • Akio Kitahara and Keiji Yanai: Associating faces and names in Japanese photo news articles, Progress in Informatics, Vol. 7, pp.73-80, (2010/03).

2009

  • Akio Kitahara and Keiji Yanai: Detecting ``In-play'' Photos from Web Sports News Photos, Proc. of the Pacific-Rim Conference on Multimedia, Bangkok, Thailand (2009/12).
  • Taichi Joutou and Keiji Yanai: A Food Image Recognition System with Multiple Kernel Learning, Proc. of International Conference on Image Processing (ICIP), Cairo, Egypt (2009/11).
  • Akitsugu Noguchi and Keiji Yanai: Extracting Spatio-temporal Local Features Considering Consecutiveness of Motions, Proc. of Asian Conference on Computer Vision (ACCV), Xian, China (2009/09). (PDF file)
  • Keiji Yanai, Hidetoshi Kawakubo and Qiu Bingyu: A Visual Analysis of the Relationship between Word Concepts and Geographical Locations, Proc. of ACM International Conference of Image and Video Retrieval (CIVR), Santorini, Greece (2009/07). (PDF)
  • Keiji Yanai: Web Image Gathering with Region-based Bag-of-Features and Multiple Instance Learning, IEEE International Conference on Multimedia and Expo (ICME), New York, USA (2009/07).
  • Hidetoshi Kawakubo and Keiji Yanai: An Analysis of the Relation between Visual Concepts and Geo-locations using Geotagged Images on the Web, IEEE ICME WS on Internet Multimedia Search and Mining, New York, USA (2009/07).
  • Keiji Yanai and Bingyu Qiu: Mining Cultural Differences from a Large Number of Geotagged Photo, Proc. of the Seventeenth International World Wide Web Conference, Poster Paper (WWW), Madrid, Spain (2009/04). (PDF file)
  • Keita Yaegashi and Keiji Yanai: Can Geotags Help Image Recognition ?, Proc. of Pacific-Rim Symposium on Image and Video Technology, Tokyo, Japan (2009/01).

2008

  • Bingyu Qiu and Keiji Yanai: Objects over the World, Proc. of the Pacific-Rim Conference on Multimedia, Tainan, Taiwan (2008/12).
  • Akitsugu Noguchi and Keiji yanai: Rushes Summarization Based on Color, Motion and Face, Proc. of ACMMM Workshop on TRECVID Rush Summarization, Vancouver, Canada (2008/10).
  • Keisuke Takada and Keiji Yanai: Web Video Retrieval Based on the Earch Mover's Distance by Integrating Color, Motion and Sound Features, Proc. of the ICIP Workshop on Multimedia Information Retrieval, San Diego, CA, USA (2008/10).
  • Keiji Yanai: Web Image Selection by PLSA, Proc. of the International Conference on Multimedia and Expo, Hanover, Germany (2008/06).
  • Keiji Yanai: Automatic Web Image Selection with a Probabilistic Latent Topic Model, Proc. of the Seventeenth International World Wide Web Conference, Poster Paper, Beijing, China (2008/04).
  • Akio Kitahara and Keiji Yanai: Associating Faces and Names in Japanese Photo News Articles on the Web, Proc. of the 2008 IEEE International Symposium on Mining the Asian Web, Okinawa, Japan (2008/03).
  • Keiji Yanai: Web Image Gathering witha Part-based Object Recognition Method, Proc. of the International Multimedia Modelling Conference, Kyoto, Japan, (2008/01).

2007

  • Iyota Tatsuya and Keiji Yanai: The News Flusher: a Photo News Clustering Browser, Proc. of the Pacific-Rim Conference on Multimedia, Hong Kong (2007/12). (PDF file)
  • Keiji Yanai: Web Image Gathering with A Spatial Pyramid Kernel, Proc. of the IEEE Workshop on Multimedia Information Processing and Retrieval, Taichung, Taiwan (2007/12).
  • Keiji Yanai: Image Collector III: A Web Image-Gathering System with Bag-of-Keypoints, Proc. of the Sixteenth International World Wide Web Conference, Poster Paper, Banff, AB, Canada (2007/05). (HTML)
  • Keiji Yanai: Current State and Future Directions on Generic Object Recognition, IPSJ Transaction on Computer Vision and Image Media, Vol.48, No.SIG (CVIM19), (2007/11) (in Japanese).
  • Kobus Barnard, Keiji Yanai, Matthew Johnson and Prasad Gabbur: Cross Modal Disambiguation, In "Toward Category-Level Object Recognition", Lecture Note on Computer Science (LNCS), No.4170, pp.246-265 (2007/02).
  • Keiji Yanai and Kobus Barnard: An Analysis of ``Visualness'' of Word Concepts, IPSJ Transactions on Computer Vision and Image Media, Vol.48, No.SIG (CVIM17), (2007/02) (in Japanese).
  • Keiji Yanai: Web Image Gathering with Probabilistic Models, Transaction of the Japanese Society of Artificial Intelligence, Vol.21, No.1, pp.10-18 (2007/01) (in Japanese). (PDF file)

2006

  • Keiji Yanai: Image Classification by a Probabilistic Model Learned from Imperfect Training Data on the Web, Proc. of ACM Knowledge Discovery and Data Mining (KDD) Workshop on Multimedia Data Mining, pp.75-82 Philadelphia, USA (2006/08). (PDF file)
  • Keiji Yanai and Kobus Barnard: Finding Visual Concept by Web Image Mining, Proc. of the Fifteenth International World Wide Web Conference, Poster Paper, Edinburgh, Scotland, UK (2006/05). (HTML)
  • Kobus Barnard and Keiji Yanai: Mutual Information Between Words and Pictures, Proc. of Workshop on Information Theory and Applications, La Jolla, California USA, (2006/02). (PDF file) (invited paper)
  • Keiji Yanai and Takehisa Hayashiyama: Automatic ``Go'' Record Generation from a TV Program, Proc. of the 12th International Multimedia Modelling Conference, Beijing, China, pp.414-417 (2006/01). (PDF file)

2005

  • Keiji Yanai and Kobus Barnard: Image Region Entropy: A Measure of "Visualness" of Web Images Associated with One Concept, Proc. of ACM Multimedia 2005, Singapore, (2005/11). (PDF file) (poster)
  • Keiji Yanai and Kobus Barnard: Probabilistic Web Image Gathering, Proc. of ACM Multimedia Workshop on Multimedia Information Retrieval (MIR) 2005, Singapore, (2005/11). (PDF file) (slides) (results)
  • Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur and Kobus Barnard: Evaluation Strategies for Image Understanding and Retrieval, Proc. of ACM Multimedia Workshop on Multimedia Information Retrieval (MIR) 2005, Singapore, (2005/11). (PDF file) (slides) (invited paper)
  • Keiji Yanai: Image Collector II: A System to Gather a Large Number of Images from the Web, IEICE Transactions on Information and Systems, Vol.E88-D, No.10, pp.2432-2436 (2005/10).

Before 2004

  • Keiji Yanai: Mining Visual Knowledge on the World Wide Web for Generic Image Classification, Transaction of the Japanese Society of Artificial Intelligence, Vol.19, No.5, pp.429-439 (2004/10) (in Japanese). (PDF file)
  • Keiji Yanai: Web Image Mining: Can We Gather Visual Knowledge for Image Recognition from the Web ?, Proc. of the 2003 Pacific-Rim International Conference on Multimedia, Singapore, pp.1B1-2 (2003/12). (PDF file) (invited paper)
  • Keiji Yanai: Generic Image Classification Using Visual Knowledge on the Web, Proc. of ACM Multimedia 2003, Berkeley USA, pp.67-76 (2003/11). (ACM Digital Library) (PDF file) (acceptance rate: 16.9%)
  • Keiji Yanai: Image Collector II: A System for Gathering More Than One Thousand Images from the Web for One Keyword, Proc. of IEEE International Conference on Multimedia and Expo, Baltimore USA, (2003/07). (PDF file)
  • Keiji Yanai: Web Image Mining toward Generic Image Recognition, Proc. of the Twelfth International World Wide Web Conference, Poster Paper, Budapest Hungary, (2003/05). (HTML file)
  • Keiji Yanai: Image Collector II: An Over-One-Thousand-Image-Gathering System, Proc. of the Twelfth International World Wide Web Conference, Poster Paper, Budapest Hungary, (2003/05). (HTML file)
  • Keiji Yanai, Masaya Shindo, Kohei Noshita: A Fast Image-Gathering System on the World-Wide Web Using a PC Cluster, Image and Vision Computing, Vol.22, No.1, pp.59-71 (2004/01). (PDF file)
  • Keiji Yanai: An Experiment on Generic Image Classification Using Web Images, Proc. of the 2002 Pacific-Rim International Conference on Multimedia (Springer LNCS no.2532), Shinchu Taiwan, pp.303-310 (2002/12). (PDF file)
  • Keiji Yanai: Image Classification by Web Images, Proc. of the Seventh Pacific-Rim International Conference on Artificial Intelligence (Springer LNAI no.2417), Tokyo, Japan, pp.613-614 (2002/08).
  • Keiji Yanai and Koichiro Deguchi: Recognition of Indoor Images Employing Supporting Relation between Objects, Systems and Computers in Japan, Vol.33, No.10, pp.14-26 (2002/10). (PDF file)
  • Keiji Yanai: An Automatic Image-Gathering System for the World-Wide Web by Integration of Keywords and Image Features, Proc. of 4th International Conference on Computational Intelligence and Multimedia Applications, Yokosuka, Japan, pp.303-307 (2001/10).
  • Keiji Yanai, Masaya Shindo, Kohei Noshita: A Fast Image-Gathering System on the World-Wide Web Using a PC Cluster, Proc. of the 2001 International Conference on Web Intelligence (Springer LNAI no.2198), Maebashi Japan, Full Paper, pp.324-334 (2001/10). (PDF file) (acceptance rate: 19.0%)
  • Keiji Yanai: Image Collector: An Image-Gathering System from the World-Wide Web Employing Keyword-based Search Engines, Proc. of IEEE International Conference on Multimedia and Expo, Tokyo, Japan, pp.704-707 (2001/08). (PDF file)
  • Yoshio Hoshi, Kohei Noshita and Keiji Yanai: A new algorithm for solving the cooperative Tsume-shogi based on iterative-deepening search, Transaction of Information Processing Society of Japan, Vol.43, No.1, pp.11-19 (2002/01) (in Japanese). (PDF file)
  • Keiji Yanai and Koichiro Deguchi: A Multi-resolution Image Understanding System Based on Multi-agent Architecture for High-resolution Images, IEICE Transactions on Information and Systems, Vol.E84-D, No.12 (2001/12). (PDF file)
  • Keiji Yanai: An Image Gathering System from WWW Employing Keywords and Image Features, IPSJ Transactions on Databases, Vol.42, No.SIG10(TOD11), pp.79-91 (2001/09) (in Japanese). (PDF file)
  • Keiji Yanai and Koichiro Deguchi: Recognition of Indoor Images Employing Supporting Relation between Objects, IEICE Transactions D-II, Vol.84-DII, No.8, pp.1741-1752 (2001/08) (in Japanese). (PDF file)
  • Keiji Yanai and Koichiro Deguchi: A Multi-resolution Image Understanding System Based on Multi-agent Architecture for High-resolution Images, Proc. of IAPR Workshop on Machine Vision and Applications (MVA), Tokyo, Japan, pp.291-294 (2000/11). (PDF file)
  • Keiji Yanai and Koichiro Deguchi: Recognition of Indoor Images Employing Qualitative Model Fitting and Supporting Relation between Objects, Proc. of International Conference on Pattern Recognition (ICPR), Barcelona Spain, Vol.I, pp.964-967 (2000/09). (PDF file)
  • Keiji Yanai: An Image Understanding System for Various Images Based on Multi-Agent Architecture, Proc. of 3rd International Conference on Computational Intelligence and Multimedia Applications, New Dehli India, pp.186-190 (1999/09). (PDF file)
  • Keiji Yanai and Koichiro Deguchi: An Architecture of Object Recognition System for Various Images Based on Multi-Agent, Proc. of International Conference on Pattern Recognition (ICPR), Brisbane Australia, Vol.I, pp.643-646 (1998/08). (PDF file)
  • Keiji Yanai and Koichiro Deguchi: A Multi-Agent Architecture of Object Recognition System for Various Image, Transaction of Information Processing Society of Japan, Vol.39, No.2, pp.170-177 (1998/02) (in Japanese). (PDF file)

Last modified: 2017-04-18 16:27