Image and Video Retrieval

1. Front Matter

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2. Invited Presentations

   1. Lessons for the Future from a Decade of Informedia Video Analysis Research

      • Alexander G. Hauptmann

      Pages 1-10

   2. Large Scale Evaluations of Multimedia Information Retrieval: The TRECVid Experience

      • Alan F. Smeaton

      Pages 11-17

   3. Image and Video Retrieval from a User-Centered Mobile Multimedia Perspective

      • Susanne Boll

      Pages 18-27

   4. Multimedia Research Challenges for Industry

      • John R. Smith, Milind Naphade, Apostol (Paul) Natsev, Jelena Tesic

      Pages 28-37

3. Industrial Presentations

   1. Practical Applications of Multimedia Search

      • Ramesh Jain

      Pages 38-38

   2. Video Story Segmentation and Its Application to Personal Video Recorders

      • Keiichiro Hoashi, Masaru Sugano, Masaki Naito, Kazunori Matsumoto, Fumiaki Sugaya

      Pages 39-48

   3. High-Speed Dialog Detection for Automatic Segmentation of Recorded TV Program

      • Hisashi Aoki

      Pages 49-58

   4. Intellectual Property Management & Protection and Digital Right Management in MPEG

      • Sheng-Mei Shen

      Pages 59-59

   5. Towards Media Semantics: An I2R Perspective

      • Qibin Sun

      Pages 60-60

4. Video Retrieval Techniques

   1. A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval

      • Kieran Mc Donald, Alan F. Smeaton

      Pages 61-70

   2. EMD-Based Video Clip Retrieval by Many-to-Many Matching

      • Yuxin Peng, Chong-Wah Ngo

      Pages 71-81

5. Video Story Segmentation and Event Detection

   1. Visual Cue Cluster Construction via Information Bottleneck Principle and Kernel Density Estimation

      • Winston H. Hsu, Shih-Fu Chang

      Pages 82-91

   2. Story Segmentation in News Videos Using Visual and Text Cues

      • Yun Zhai, Alper Yilmaz, Mubarak Shah

      Pages 92-102

   3. Boundary Error Analysis and Categorization in the TRECVID News Story Segmentation Task

      • Joaquim Arlandis, Paul Over, Wessel Kraaij

      Pages 103-112

   4. Semantic Event Detection in Structured Video Using Hybrid HMM/SVM

      • Tae Meon Bae, Cheon Seog Kim, Sung Ho Jin, Ki Hyun Kim, Yong Man Ro

      Pages 113-122

6. Semantics in Video Retrieval

   1. What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine

      • Dawei Ding, Jun Yang, Qing Li, Wenyin Liu, Liping Wang

      Pages 123-133

   2. The Use and Utility of High-Level Semantic Features in Video Retrieval

      • Michael G. Christel, Alexander G. Hauptmann

      Pages 134-144

7. Image Indexing and Retrieval

   1. Efficient Shape Indexing Using an Information Theoretic Representation

      • Eric Spellman, Baba C. Vemuri

      Pages 145-153

   2. Efficient Compressed Domain Target Image Search and Retrieval

      • Javier Bracamonte, Michael Ansorge, Fausto Pellandini, Pierre-André Farine

      Pages 154-163

It was our great pleasure to host the 4th International Conference on Image and Video Retrieval (CIVR) at the National University of Singapore on 20–22 July 2005. CIVR aims to provide an international forum for the discussion of research challenges and exchange of ideas among researchers and practitioners in image/video retrieval technologies. It addresses innovative research in the broad ?eld of image and video retrieval. A unique feature of this conference is the high level of participation by researchers from both academia and industry. Another unique feature of CIVR this year was in its format – it o?ered both the traditional oral presentation sessions, as well as the short presentation cum poster sessions. The latter provided an informal alternative forum for animated discussions and exchanges of ideas among the participants. We are pleased to note that interest in CIVR has grown over the years. The number of submissions has steadily increased from 82 in 2002, to 119 in 2003, and 125 in 2004. This year, we received 128 submissions from the international communities:with81(63.3%)fromAsiaandAustralia,25(19.5%)fromEurope, and 22 (17.2%) from North America. After a rigorous review process, 20 papers were accepted for oral presentations, and 42 papers were accepted for poster presentations. In addition to the accepted submitted papers, the program also included 4 invited papers, 1 keynote industrial paper, and 4 invited industrial papers. Altogether, we o?ered a diverse and interesting program, addressing the current interests and future trends in this area.

• Adobe Flash
• DOM
• MPEG
• algorithms
• architecture
• content-based image retrieval
• feature-based retrieval
• image databases
• image retrieval
• multimedia retrieval
• pattern mining
• semantic retrieval
• similarity search
• video retrieval
• video summar

• Dept. of Computer Science, National University of Singapore, Singapore

  Wee-Kheng Leow

• LIACS Media Lab, Leiden University,  

  Michael S. Lew, Erwin M. Bakker

• National University of Singapore, Singapore

  Tat-Seng Chua

• Microsoft Research Asia, Beijing, P.R.China

  Wei-Ying Ma

• School of Computing, National University of Singapore, Singapore

  Lekha Chaisorn

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