3D MARS: immersive virtual reality for content-based image retrieval

3D MARS is an interactive visualization system for Content-Based Image Retrieval (CBIR). In 3D MARS, the user browses and queries images in an immersive 3D Virtual Reality space of CAVE. The results of the query are displayed in 3D, so that the user can see the result with respect to three different criteria such as color, texture and structure. The user can examine the result from different view angles by flying-through the space with the joystick. Based on the user’s feedback, the system dynamically reorganize its visualization scheme. By giving meanings to each axis, the user can determine which features are important. In addition, the Sphere mode visualization is provided as a powerful analyzing tool for CBIR researchers.

[1]  Thomas S. Huang,et al.  Edge-based structural features for content-based image retrieval , 2001, Pattern Recognit. Lett..

[2]  Thomas S. Huang,et al.  Optimizing learning in image retrieval , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[3]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[4]  Christos Faloutsos,et al.  FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets , 1995, SIGMOD '95.

[5]  James J. Thomas,et al.  Visualizing the non-visual: spatial analysis and interaction with information from text documents , 1995, Proceedings of Visualization 1995 Conference.

[6]  Thomas S. Huang,et al.  Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..

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

[8]  Simone Santini,et al.  Integrated browsing and querying for image databases , 2000, IEEE MultiMedia.

[9]  Gui Yun Tian,et al.  Colour image retrieval using virtual reality , 2000, 2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics.

[10]  Thomas S. Huang,et al.  Generalized relevance feedback scheme for image retrieval , 2000, SPIE Optics East.

[11]  Matthias Hemmje,et al.  Virgilio: a non-immersive VR system to browse multimedia databases , 1997, Proceedings of IEEE International Conference on Multimedia Computing and Systems.

[12]  Marti A. Hearst,et al.  Cat-a-Cone: an interactive interface for specifying searches and viewing retrieval results using a large category hierarchy , 1997, SIGIR '97.

[13]  John Hershberger,et al.  Color and sound in algorithm animation , 1992, Computer.