State-of-the-art in content-based image and video retrieval
[Book]
edited by Remco C. Veltkamp, Hans Burkhardt, Hans-Peter Kriegel.
Dordrecht ; London
Springer
2011
1 volume ; 24 cm.
Computational imaging and vision, v. 22
Originally published: Dordrecht; London: Kluwer Academic, 2001.
Preface. 1. Image Content Analysis and Description; X. Zabulis, S.C. Orphanoudakis. 2. Local Features for Image Retrieval; L. Van Gool, et al. 3. Fast Invariant Feature Extraction for Image Retrieval; S. Siggelkow, H. Burkhardt. 4. Shape Description and Search for Similar Objects in Image Databases; L.J. Latecki, R. Lakaemper. 5. Features in Content-based Image Retrieval Systems: a Survey; R.C. Veltkamp, et al. 6. Probablistic Image Models for Object Recognition and Pose Estimation; J. Hornegger, H. Niemann. 7. Distribution-based Image Similarity; J. Puzicha. 8. Distribution Free Statistics for Segmentation; G. Frederix, E.J. Pauwels. 9. Information Retrieval Methods for Multimedia Objects; N. Fuhr. 10. New descriptors for image and video indexing; P. Gros, et al. 11. Facial and Motion Analysis for Image and Video Retrieval; M. Tistarelli, E. Grosso. 12. Asymmetric Similarity Measures for Video Summarisation; S.M. Iacob, et al. 13. Video Retrieval using Semantic Data; A. Del Bimbo. 14. Adaptable Similarity Search in Large Image Databases; T. Seidl, H.-P. Kriegel. 15. Parallel NN-search for large multimedia repositories; R. Weber, et al.
Database management -- Congresses.
Database management.
Image processing -- Digital techniques -- Congresses.
TA1637
.
E358
2011
edited by Remco C. Veltkamp, Hans Burkhardt, Hans-Peter Kriegel.