A query analytic model for image retrieval

Hsiao Tieh Pu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Searching digital images on a networked environment is rapidly growing. Despite recent advances in image retrieval technologies, high-precision and robust solutions remain hampered by limits to knowledge about user issues associated with image retrieval. This paper examines a large number of queries from a Web image search engine, and attempts to develop an analytic model to investigate their implications for image retrieval technologies. The model employs the concepts of uniqueness and refinement to categorize successful and failed queries. The results show that image requests have a higher specificity and may often contain queries refined by interpretive, reactive, and perceptual attributes. Based on the proposed model, the study further investigates feasible technical solutions integrating both content-based and concept-based technologies to deal with real image query types. The initial study has provided useful results that enhance the understanding of digital image searching and suggests implications for the improvement of image retrieval systems.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationInternational Collaboration and Cross-Fertilization - 7th International Conference on Asian Digital Libraries, ICADL 2004
EditorsQihao Miao, Ee-peng Lim, Zhaoneng Chen, Yuxi Fu, Hsinchun Chen, Edward Fox
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783540240303
Publication statusPublished - 2005
Event7th International Conference on Asian Digital Libraries, ICADL 2004 - Shanghai, China
Duration: 2004 Dec 132004 Dec 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3334 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th International Conference on Asian Digital Libraries, ICADL 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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