COLOR BLOBS-BASED IMAGE RETRIEVAL IN BROAD DOMAINS(International Workshop on Advanced Image Technology 2005)

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概要

• 論文の詳細を見る

• In this paper, we propose a new method for Image Retrieval using Color Blobs. These blobs are regions found using a Neural Network-based color quantization over the Scale Space of the images. The features of each blob are then used to index images in a database. Furthermore, we add other commodity searches to the system, such as the annotation generated automatically using image categorization, physical location context using GPS, or color exclusion search. The method is compared with methods based on Color Histograms, showing the increase in speed, recall and precision. We also show how our method is compatible with other approaches in combined queries.

• 社団法人電子情報通信学会の論文
• 2005-01-03

著者

• TAKAHASHI Hiroki

  Graduate School of Information Science, Nara Institute of Science and Technology

• NAKAJIMA Masayuki

  Graduate School of Information Science & Engineering, Tokyo Institute of Technology

• GAVILAN David

  Graduate School of Information Science & Engineering, Tokyo Institute of Technology

• Takahashi H

  Department Of Human Communication The University Of Electro-communications

• Takahashi H

  Tokyo Inst. Technol. Jpn

• Gavilan David

  Graduate School Of Information Science & Engineering Tokyo Institute Of Technology

• Nakajima M

  Department Of Computer Science Tokyo Institute Of Technology

• Takahashi H

  Tokyo Inst. Technol. Tokyo Jpn

• Nakajima Masayuki

  Graduate School Of Information And Engineering Tokyo Institute Of Technology

• Takahashi Hiroki

  Graduate School Of Human And Environmental Studies Kyoto University

• Takahashi Hiroki

  Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan

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