Query by Colour : Investigating the Efficacy of Query Paradigms for Visual Information Retrieval

The ability of the searcher to express their information problem to an information retrieval system is fundamental to the retrieval process. Query by visual example is the principal query paradigm for expressing queries in a content-based image retrieve) environment yet there is little empirical evidence to support its efficacy in facilitating query formulation. The aim of this research was to investigate the usability of the query by colour method in supporting a range of information problems in order to contribute to the gap in knowledge regarding th relationship between searchers information problems and the query methods required to support efficient and effective visual query formulation. The results strongly suggest that the query method doc not support visual query formulation and that there is a significant mismatch between the searchers information problem and the expressive power of the retrieval paradigm.

[1]  Patty Curthoys,et al.  Developing user interfaces: Ensuring usability through product and process , 1997 .

[2]  H. Rex Hartson,et al.  Developing user interfaces: ensuring usability through product & process , 1993 .

[3]  P. Kay,et al.  Basic Color Terms: Their Universality and Evolution , 1973 .

[4]  Frances C. Johnson,et al.  Devise: a framework for the evaluation of internet search engines , 2001 .

[5]  Vittorio Castelli,et al.  Image Databases: Search and Retrieval of Digital Imagery , 2002 .

[6]  Mark D. Dunlop.  Multimedia information retrieval , 1991 .

[7]  F. W. Lancaster,et al.  Information Retrieval Today , 1993 .

[8]  Erik Frekjmr,et al.  Measuring Usability: Are Effectiveness, Efficiency, and Satisfaction Really Correlated? , 2000 .

[9]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[10]  Thierry Pun,et al.  MRML: an extensible communication protocol for interoperability and benchmarking of multimedia information retrieval systems , 2000, SPIE Optics East.

[11]  A FRAMEWORK.  VizIR A Framework for Visual Information Retrieval , 2003 .

[12]  Alberto Del Bimbo,et al.  Visual information retrieval , 1999 .

[13]  Colin C. Venters,et al.  A Review of Content-Based Image Retrieval Systems , 1982 .

[14]  Shih-Fu Chang,et al.  Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..

[15]  Thomas S. Huang,et al.  Relevance Feedback Techniques in Image Retrieval , 2001, Principles of Visual Information Retrieval.

[16]  Wan-Chi Siu,et al.  Multimedia Information Retrieval and Management: Technological Fundamentals and Applications , 2010 .

[17]  Yue Wang,et al.  Human factors in color-based image retrieval: an empirical study on size estimate accuracies , 2004, J. Vis. Commun. Image Represent..

[18]  Shih-Fu Chang,et al.  Concepts and Techniques for Indexing Visual Semantics , 2002 .

[19]  Markus A. Stricker,et al.  Similarity of color images , 1995, Electronic Imaging.

[20]  Andrew Simpson.  Grid computing for digital mammography , 2003 .

[21]  Beng Chin Ooi,et al.  Efficient Image Retrieval By Color Contents , 1994, ADB.

[22]  M. Markkula,et al.  Searching for Photos - Journalists' Practices in Pictorial IR , 1998 .

[23]  Peter G. B. Enser,et al.  Progress in Documentation Pictorial Information Retrieval , 1995, J. Documentation.

[24]  Robert R. Korfhage,et al.  Information Storage and Retrieval , 1963 .

[25]  Corinne Jörgensen.  Image attributes: an investigation , 1995 .

[26]  Kent L. Norman,et al.  Development of an instrument measuring user satisfaction of the human-computer interface , 1988, CHI '88.

[27]  Joemon M. Jose,et al.  Spatial querying for image retrieval: a user-oriented evaluation , 1998, SIGIR '98.

[28]  Edward Y. Chang,et al.  Multimedia content analysis, management and retrieval: trends and challenges , 2006, Electronic Imaging.

[29]  T. John Stonham,et al.  Content-based image retrieval using color tuple histograms , 1996, Electronic Imaging.

[30]  Gordon W. Braudaway,et al.  Populating the Hermitage Museum's new web site , 2001, Commun. ACM.

[31]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[32]  Jing Huang,et al.  Image indexing using color correlograms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[33]  C. J. van Rijsbergen,et al.  Information Retrieval , 1979, Encyclopedia of GIS.

[34]  Raya Fidel,et al.  The image retrieval task: implications for the design and evaluation of image databases , 1997, New Rev. Hypermedia Multim..

[35]  Fa-Xin Yu,et al.  Colour image retrieval using pattern co-occurrence matrices based on BTC and VQ , 2011 .

[36]  Peter G. B. Enser,et al.  Analysis of user need in image archives , 1997, J. Inf. Sci..

[37]  James R. Larus,et al.  Where Is Software Headed? A Virtual Roundtable , 1995, Computer.

[38]  Toshikazu Kato,et al.  Intelligent visual interaction with image database systems-toward the multimedia personal interface , 1991 .

[39]  Doug Schuler.  Computer professionals and the next culture of democracy , 2001, CACM.

[40]  Seon-Heui Choi,et al.  Citing Behavior of Korean Scientists on Foreign Journals in KSCD , 2011 .

[41]  Toshikazu Kato,et al.  Multimedia interaction with image database systems , 1990, SGCH.

[42]  Thomas S. Huang,et al.  Visual Information Retrieval: Paradigms, Applications, and Research Issues , 2001, Principles of Visual Information Retrieval.

[43]  Umut Al.  Information Seeking Behaviours on the Internet , 2000 .

[44]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[45]  D. Norman.  Categorization of action slips. , 1981 .

[46]  D. Purves,et al.  Why we see what we do redux : a wholly empirical theory of vision , 2011 .

[47]  S. Batley.  Visual information retrieval : browsing strategies in pictorial databases , 1988 .

[48]  C. L. Bird,et al.  Content-based retrieval for European image libraries , 1999 .

[49]  Sethuraman Panchanathan,et al.  Review of Image and Video Indexing Techniques , 1997, J. Vis. Commun. Image Represent..

[50]  John Tait,et al.  Evaluating a content based image retrieval system , 2001, SIGIR '01.

[51]  Howard Greisdorf.  Information Seeking Behaviour in Image Retrieval: VISOR I Final Report , 2002, J. Documentation.

[52]  John R. Smith,et al.  Color for Image Retrieval , 2002 .

[53]  Remco C. Veltkamp,et al.  A Survey of Content-Based Image Retrieval Systems , 2002 .

[54]  James Ze Wang,et al.  Image retrieval: Ideas, influences, and trends of the new age , 2008, CSUR.

[55]  Toshikazu Kato,et al.  Query by Visual Example - Content based Image Retrieval , 1992, EDBT.

[56]  Shih-Fu Chang,et al.  Tools and techniques for color image retrieval , 1996, Electronic Imaging.