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  • Conference proceedings
  • © 2006

Image and Video Retrieval

5th Internatinoal Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006, Proceedings

Editors:

  1. Hari Sundaram

    1. Arts, Media and Engineering Program, Arizona State University, Tempe,  

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  2. Milind Naphade

    1. Intelligent Information Management Department, IBM T.J. Watson Research Center, Hawthorne, USA

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  3. John R. Smith

    1. Intelligent Information Management Department, IBM T. J. Watson Research Center, Hawthorne, USA

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  4. Yong Rui

    1. Microsoft Corporation, Microsoft China R&D Group, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4071)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Conference series link(s): CIVR: International Conference on Image and Video Retrieval

Conference proceedings info: CIVR 2006.

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Table of contents (65 papers)

  1. Session P1: Poster I

    1. Feature Re-weighting in Content-Based Image Retrieval

      • Gita Das, Sid Ray, Campbell Wilson
      Pages 193-200

    2. Objectionable Image Detection by ASSOM Competition

      • Grégoire Lefebvre, Huicheng Zheng, Christophe Laurent
      Pages 201-210

    4. Finding Faces in Gray Scale Images Using Locally Linear Embeddings

      • Samuel Kadoury, Martin D. Levine
      Pages 221-230

    5. ROI-Based Medical Image Retrieval Using Human-Perception and MPEG-7 Visual Descriptors

      • MiSuk Seo, ByoungChul Ko, Hong Chung, JaeYeal Nam
      Pages 231-240

    6. Hierarchical Hidden Markov Model for Rushes Structuring and Indexing

      • Chong-Wah Ngo, Zailiang Pan, Xiaoyong Wei
      Pages 241-250

    7. Retrieving Objects Using Local Integral Invariants

      • Alaa Halawani, Hashem Tamimi
      Pages 251-260

    9. Relay Boost Fusion for Learning Rare Concepts in Multimedia

      • Dong Wang, Jianmin Li, Bo Zhang
      Pages 271-280

    10. Comparison Between Motion Verbs Using Similarity Measure for the Semantic Representation of Moving Object

      • Miyoung Cho, Dan Song, Chang Choi, Junho Choi, Jongan Park, Pankoo Kim
      Pages 281-290

    11. Coarse-to-Fine Classification for Image-Based Face Detection

      • Hanjin Ryu, Ja-Cheon Yoon, Seung Soo Chun, Sanghoon Sull
      Pages 291-299

    12. Using Topic Concepts for Semantic Video Shots Classification

      • Stéphane Ayache, Georges Quénot, Jérôme Gensel, Shin’ichi Satoh
      Pages 300-309

    14. Eliciting Perceptual Ground Truth for Image Segmentation

      • Victoria Hodge, Garry Hollier, John Eakins, Jim Austin
      Pages 320-329

  2. Session P2: Poster II

    1. Asymmetric Learning and Dissimilarity Spaces for Content-Based Retrieval

      • Eric Bruno, Nicolas Moenne-Loccoz, Stéphane Marchand-Maillet
      Pages 330-339

    2. Video Navigation Based on Self-Organizing Maps

      • Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki
      Pages 340-349

    3. Fuzzy SVM Ensembles for Relevance Feedback in Image Retrieval

      • Yong Rao, Padma Mundur, Yelena Yesha
      Pages 350-359

    4. Video Mining with Frequent Itemset Configurations

      • Till Quack, Vittorio Ferrari, Luc Van Gool
      Pages 360-369

    5. Using High-Level Semantic Features in Video Retrieval

      • Wujie Zheng, Jianmin Li, Zhangzhang Si, Fuzong Lin, Bo Zhang
      Pages 370-379

    6. Recognizing Objects and Scenes in News Videos

      • Muhammet Baştan, Pınar Duygulu
      Pages 380-390
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  1. Image and Video Retrieval

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About this book

This volume contains the proceeding of the 5th International Conference on - age and Video Retrieval (CIVR), July 13–15, 2006, Arizona State University, Tempe, AZ, USA: http://www. civr2006. org. Image and video retrieval cont- ues to be one of the most exciting and fast-growing research areas in the ?eld of multimedia technology. However, opportunities for exchanging ideas between researchers and users of image and video retrieval systems are still limited. The InternationalConferenceonImageandVideo Retrieval(CIVR)hastakenonthe mission of bringing together these communities to allow researchers and prac- tioners around the world to share points of view on image and video retrieval. A uniquefeatureoftheconferenceistheemphasisonparticipationfrompractiti- ers. The objective is to illuminate critical issues and energize both communities for the continuing exploration of novel directions for image and video retrieval. We receivedover 90 submissions for the conference. Eachpaper wascarefully reviewed by three members of the program committee, and then checked by one of the program chairs and/or general chairs. The program committee consisted of more than 40 experts in image and video retrieval from Europe, Asia and North America, and we drew upon approximately 300 high-quality reviews to ensure a thorough and fair review process. The paper submission and review process was fully electronic, using the EDAS system. The quality of the submitted papers was very high, forcing the committee members to make some di?cult decisions. Due to time and space constraints, we could only accept 18 oral papers and 30 poster papers.
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Keywords

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Editors and Affiliations

  • Arts, Media and Engineering Program, Arizona State University, Tempe,  

    Hari Sundaram

  • Intelligent Information Management Department, IBM T.J. Watson Research Center, Hawthorne, USA

    Milind Naphade

  • Intelligent Information Management Department, IBM T. J. Watson Research Center, Hawthorne, USA

    John R. Smith

  • Microsoft Corporation, Microsoft China R&D Group, Beijing, China

    Yong Rui

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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