A taxonomy for texture description and identification
A taxonomy for texture description and identification
Elements of information theory
Elements of information theory
Ten lectures on wavelets
Design of neural networks for classification of remotely sensed imagery
Telematics and Informatics - Neural networks and artificial intelligence technologies for space applications
Image processing on compressed data for large video databases
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Content-Based Video Indexing and Retrieval
IEEE MultiMedia
Quad-tree segmentation for texture-based image query
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Arithmetic coding for data compression
Communications of the ACM
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
MPEG Video Compression Standard
MPEG Video Compression Standard
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Deriving texture feature set for content-based retrieval of satellite image database
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Progressive classification in the compressed domain for large EOS satellite databases
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Information retrieval on the web
ACM Computing Surveys (CSUR)
Search and Progressive Image Retrieval from Distributed Image/Video Databases: The SPIRE Project
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
IBM Journal of Research and Development - Papers on mustimedia systems
Evolution and challenges in multimedia
IBM Journal of Research and Development - Papers on mustimedia systems
Dual-scale approach for detection of tsunami-affected areas using optical satellite images
International Journal of Remote Sensing - Satellite Observations Related to Sumatra Tsunami and Earthquake of 26 December 2004
Discriminative cue integration for medical image annotation
Pattern Recognition Letters
A framework and baseline results for the CLEF medical automatic annotation task
Pattern Recognition Letters
The Many Facets of Progressive Retrieval for CBIR
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Content-based queries on the casimage database within the IRMA framework
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Baseline results for the ImageCLEF 2006 medical automatic annotation task
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
| Hi-index | 0.00 |
In this paper, we describe the architecture and implementation of a framework to perform content-based search of an image database, where content is specified by the user at one or more of the following three abstraction levels: pixel, feature, and semantic. This framework incorporates a methodology that yields a computationally efficient implementation of image-processing algorithms, thus allowing the efficient extraction and manipulation of user-specified features and content during the execution of queries. The framework is well suited for searching scientific databases, such as satellite-image-, medical-, and seismic-data repositories, where the volume and diversity of the information do not allow the a priori generation of exhaustive indexes, but we have successfully demonstrated its usefulness on still-image archives.