A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
An effective region-based image retrieval framework
Proceedings of the tenth ACM international conference on Multimedia
Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Gender Classification with Support Vector Machines
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Digital rights management for content distribution
ACSW Frontiers '03 Proceedings of the Australasian information security workshop conference on ACSW frontiers 2003 - Volume 21
QCluster: relevance feedback using adaptive clustering for content-based image retrieval
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic image classification using visual knowledge on the web
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Image recognition for digital libraries
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
IEEE Transactions on Multimedia
Image classification for content-based indexing
IEEE Transactions on Image Processing
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
DIAS: the digital image archiving system of NDAP taiwan
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
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As tools and systems for producing and disseminating image data have improved significantly in recent years, the volume of digital images has grown rapidly. An efficient mechanism for managing such images in a digital archive system is therefore needed. In this study, we propose an image classification technique that meets this need. The technique can be employed to annotate and verify image categories when gathering images. The proposed method segments each image into non-overlapping blocks from which color and texture features can be extracted. Support Vector Machine (SVM) classifiers are then applied to train and classify the images. Our experimental results show that the proposed classification mechanism is feasible for digital archive management systems.