Algorithms for clustering data
Algorithms for clustering data
Computer
Fuzzy queries in multimedia database systems
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
MPEG-7: Overview of MPEG-7 Description Tools, Part 2
IEEE MultiMedia
Segmentation and content-based watermarking for color image and image region indexing and retrieval
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
A bootstrapping approach to annotating large image collection
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
WS-QBE: A QBE-Like Query Language for Complex Multimedia Queries
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Learning the semantics of multimedia queries and concepts from a small number of examples
Proceedings of the 13th annual ACM international conference on Multimedia
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Semantic annotation of images and videos for multimedia analysis
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Putting the user in the loop: visual resource discovery
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Ranking invariance based on similarity measures in document retrieval
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
An ontology-based approach of multimedia information personalized search
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
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Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is rarely attempted. In this paper, we propose a standardized annotation framework that integrates semantic and feature based information about the content of images. The presented approach is based on the MPEG-7 standard with some minor extensions. The proposed annotation system SAFIRE (Semantic Annotation Framework for Image REtrieval) enables the combined use of low-level features and annotations that can be assigned to arbitrary hierarchically organized image segments. Besides the framework itself, we discuss query formalisms required for this unified retrieval approach.