An expressive language and interface for image querying

Abstract. One key component in providing effective image data management support is an expressive query language/interface. In this paper, we describe the EXQUISI system that we have developed. A main contribution of EXQUISI is its ability to allow a user to express subtle differences that may exist between images to be retrieved and other images that are similar. In particular, it allows the user to incorporate ambiguities and imprecisions in specifying his/her query. Another important aspect of EXQUISI is the provision of a reformulation language by which the user can ask “like this in what” queries, by specifying which parts of a returned image the user wants to include and exclude.

[1]  Dwifiandika S. Faulus.  Design and implementation of an expressive query interface/language for image database , 1996 .

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

[3]  Anil K. Jain,et al.  Texture classification and segmentation using multiresolution simultaneous autoregressive models , 1992, Pattern Recognit..

[4]  Mark H. Chignell,et al.  Queries-R-Links: graphical markup for text navigation , 1993, CHI '93.

[5]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Other Conferences.

[6]  Naoki Shibata,et al.  Media-based navigation for hypermedia systems , 1993, Hypertext.

[7]  Raymond T. Ng,et al.  Evaluating multidimensional indexing structures for images transformed by principal component analysis , 1996, Electronic Imaging.

[8]  Sang-goo Lee,et al.  Semantic and structural query reformulation for efficient manipulation of very large knowledge bases , 1990, Proceedings., Fourteenth Annual International Computer Software and Applications Conference.

[9]  Rohini K. Srihari.  Automatic indexing and content-based retrieval of captioned photographs , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[10]  Jiawei Han,et al.  Efficient and Effective Clustering Methods for Spatial Data Mining , 1994, VLDB.

[11]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Electronic Imaging.

[12]  David G. Lowe,et al.  Vista: a software environment for computer vision research , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Lawrence J. Henschen,et al.  Semantic query reformulation in deductive databases , 1991, [1991] Proceedings. Seventh International Conference on Data Engineering.

[14]  Pasquale Savino,et al.  An Information-Retrieval Approach for Image Databases , 1992, VLDB.

[15]  Otfried Schwarzkopf.  The extensible drawing editor Ipe , 1995, SoCG 1995.

[16]  K. Wakimoto,et al.  Efficient and Effective Querying by Image Content , 1994 .

[17]  Yihong Gong,et al.  An image database system with content capturing and fast image indexing abilities , 1994, 1994 Proceedings of IEEE International Conference on Multimedia Computing and Systems.

[18]  David Salesin,et al.  Fast multiresolution image querying , 1995, SIGGRAPH.

[19]  Michael J. Swain,et al.  The capacity of color histogram indexing , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[20]  Markus A. Stricker,et al.  Color indexing with weak spatial constraints , 1996, Electronic Imaging.

[21]  Euripides G. M. Petrakis,et al.  Similarity Searching in Large Image DataBases , 1994 .

[22]  Alain Pirotte,et al.  Advances in Database Technology — EDBT '92 , 1992, Lecture Notes in Computer Science.

[23]  Ramesh C. Jain,et al.  Similarity indexing with the SS-tree , 1996, Proceedings of the Twelfth International Conference on Data Engineering.

[24]  William I. Grosky,et al.  Index-based object recognition in pictorial data management , 1990, Comput. Vis. Graph. Image Process..

[25]  Fang Liu,et al.  Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

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

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

[28]  Ramin Samadani,et al.  Content-based event selection from satellite images of the aurora , 1993, Electronic Imaging.

[29]  Ramesh C. Jain,et al.  A Visual Information Management System for the Interactive Retrieval of Faces , 1993, IEEE Trans. Knowl. Data Eng..

[30]  Hiroaki Sakamoto,et al.  Flexible montage retrieval for image data , 1994, Electronic Imaging.