A Multidimensional Image Browser

Abstract We present a browsing tool for content-based image retrieval. Images are retrieved from the database based on both textual and geometrical attributes. The resulting image collection is presented in a user-defined multidimensional visual information space, which acts as an interface to the underlying image database.

[1]  Vijay V. Raghavan,et al.  Design and evaluation of algorithms for image retrieval by spatial similarity , 1995, TOIS.

[2]  James A. Larson.  A Visual Approach to Browsing in a Database Environment , 1986, Computer.

[3]  Azriel Rosenfeld,et al.  Digital Picture Processing , 1976 .

[4]  Michael Stonebraker,et al.  Chabot: Retrieval from a Relational Database of Images , 1995, Computer.

[5]  Toshikazu Kato,et al.  A sketch retrieval method for full color image database-query by visual example , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

[6]  Harry K. T. Wong,et al.  GUIDE: Graphical User Interface for Database Exploration , 1982, VLDB.

[7]  Vijay V. Raghavan,et al.  A Unified Approach to Data Modeling and Retrieval for a Class of Image Database Applications , 1996, Multimedia Database System: Issues and Research Direction.

[8]  Fang Liu,et al.  A new Wold ordering for image similarity , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[9]  Alberto Del Bimbo,et al.  Effective image retrieval using deformable templates , 1996, Proceedings of 13th International Conference on Pattern Recognition.

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

[11]  Robert R. Korfhage,et al.  Visualization of a Document Collection: The VIBE System , 1993, Inf. Process. Manag..

[12]  Alberto Del Bimbo,et al.  Sequence retrieval by contents through spatio temporal indexing , 1993, Proceedings 1993 IEEE Symposium on Visual Languages.

[13]  Thomas M. Strat,et al.  Context-Based Vision: Recognizing Objects Using Information from Both 2D and 3D Imagery , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Luigi Cinque,et al.  Indexing pictorial documents by their content: a survey of current techniques , 1997, Image Vis. Comput..

[15]  Alberto Del Bimbo,et al.  Image Retrieval by Color Regions , 1997, ICIAP.

[16]  Stan Sclaroff,et al.  Object recognition and categorization using modal matching , 1994, Proceedings of 1994 IEEE 2nd CAD-Based Vision Workshop.

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

[18]  Rajiv Mehrotra,et al.  Similar-Shape Retrieval in Shape Data Management , 1995, Computer.

[19]  Gwang S. Jung,et al.  Adaptive Query Reformulation In Attribute Based Image Retrieval , 1995 .

[20]  Dennis Fogg,et al.  Lessons from a "living in a database" graphical query interface , 1984, SIGMOD '84.

[21]  Christos Faloutsos,et al.  QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.