Visual Information Retrieval: Paradigms, Applications, and Research Issues

Imagine you are a designer working on the next Star Wars movie. You have seen thousands of images, graphics, and photos pass by your monitor. However, you can only recall a few characteristics of the images — perhaps it had a gorgeous night sky scene, or lonely sand dunes; or maybe it had a Gothic feeling. How do you find the visual imagery? Instead of being a designer, perhaps you are a news journalist who needs to quickly make a compilation of the millennium celebrations from around the world. How do you find the right video shots? Visual information retrieval (VIR) is focussed on paradigms for finding visual imagery: i. e., photos, graphics, and video from large collections which are spread over a wide variety of media such as DVDs, the WWW, or wordprocessor documents.

[1]  Tom Minka,et al.  Modeling user subjectivity in image libraries , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

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

[3]  Marco La Cascia,et al.  Image Digestion and Relevance Feedback in the ImageRover WWW Search Engine , 1997 .

[4]  Nicu Sebe,et al.  Improving visual matching , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[5]  Simone Santini,et al.  Image Databases Are Not Databases with Images , 1997, ICIAP.

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

[7]  Hideyuki Tamura,et al.  Image database systems: A survey , 1984, Pattern Recognit..

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

[9]  Shih-Fu Chang,et al.  Visual information retrieval from large distributed online repositories , 1997, CACM.

[10]  Shi-Kuo Chang,et al.  Image Information Systems: Where Do We Go From Here? , 1992, IEEE Trans. Knowl. Data Eng..

[11]  Alex Pentland,et al.  Photobook: Content-based manipulation of image databases , 1996, International Journal of Computer Vision.

[12]  Dragutin Petkovic,et al.  Challenges and Opportunities for Pattern Recognition and Computer Vision Research in Year 2000 and Beyond , 1997 .

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

[14]  Alberto Del Bimbo,et al.  Visual Image Retrieval by Elastic Matching of User Sketches , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Vijay V. Raghavan,et al.  Content-Based Image Retrieval Systems - Guest Editors' Introduction , 1995, Computer.

[16]  Amarnath Gupta,et al.  Visual information retrieval , 1997, CACM.

[17]  Rosalind W. Picard.  A Society of Models for Video and Image Libraries , 1996, IBM Syst. J..

[18]  Ramesh C. Jain,et al.  Similarity indexing: algorithms and performance , 1996, Electronic Imaging.

[19]  José Martinez,et al.  Colour Image Retrieval Fitted to Classical Querying , 1997, Netw. Inf. Syst. J..

[20]  Michael S. Lew,et al.  Learning visual concepts , 1999, MULTIMEDIA '99.