Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Transactions on Knowledge and Data Engineering
Display Optimization for Image Browsing
MDIC '01 Proceedings of the Second International Workshop on Multimedia Databases and Image Communication
Clustering of Texture Features for Content-Based Image Retrieval
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
A Texture Descriptor for Image Retrieval and Browsing
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Texture based medical image indexing and retrieval: application to cardiac imaging
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
On Binary Similarity Measures for Handwritten Character Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An image retrieval system based on identifying objects of interest
Integrated Computer-Aided Engineering
A review of text and image retrieval approaches for broadcast news video
Information Retrieval
Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Ensemble one-class support vector machines for content-based image retrieval
Expert Systems with Applications: An International Journal
Content-based image retrieval methods
Programming and Computing Software
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Investigating visual feature extraction methods for image annotation
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Web-based image retrieval with a case study
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
A novel features design method for cat head detection
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
A relevance feedback-based learner for image retrieval using SIFT descriptors
International Journal of Computational Vision and Robotics
Expert system design using wavelet and color vocabulary trees for image retrieval
Expert Systems with Applications: An International Journal
Evaluation of a content-based image retrieval system using features based on colour means
International Journal of Information and Communication Technology
JPEG-2000 compressed image retrieval using partial entropy decoding
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Directional line edge binary pattern for texture image indexing and retrieval
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
KiTeMiROOM: a fashion-coordination system for mobile devices
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Modified color motif co-occurrence matrix for image indexing and retrieval
Computers and Electrical Engineering
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Digital image and video libraries require new algorithms for the automated extraction and indexing of salient image features. Texture features provide one important cue for the visual perception and discrimination of image content. We propose a new approach for automated content extraction that allows for efficient database searching using texture features. The algorithm automatically extracts texture regions from image spatial-frequency data which are represented by binary texture feature vectors. We demonstrate that the binary texture features provide excellent performance in image query response time while providing highly effective texture discriminability, accuracy in spatial localization and capability for extraction from compressed data representations. We present the binary texture feature extraction and indexing technique and examine searching by texture on a database of 500 images.