International Journal of Computer Vision
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
A new motion histogram to index motion content in video segments
Pattern Recognition Letters
Neural Networks - 2005 Special issue: IJCNN 2005
A motion-based scene tree for browsing and retrieval of compressed videos
Information Systems
Perplexity-based evidential neural network classifier fusion using mpeg-7 low-level visual features
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Image Matching Using High Dynamic Range Images and Radial Feature Descriptors
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Attributing semantics to personal photographs
Multimedia Tools and Applications
Fine-grained scalable streaming from coarse-grained videos
Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video
Query aware visual similarity propagation for image search reranking
MM '09 Proceedings of the 17th ACM international conference on Multimedia
NUS-WIDE: a real-world web image database from National University of Singapore
Proceedings of the ACM International Conference on Image and Video Retrieval
Line segment based edge feature using Hough transform
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Composition of MPEG-7 visual descriptors for detecting adult images on the internet
HSI'03 Proceedings of the 2nd international conference on Human.society@internet
Establishing semantic relationship in inter-query learning for content-based image retrieval systems
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
OLYBIA: ontology-based automatic image annotation system using semantic inference rules
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
An intelligent user interface for browsing and searching MPEG-7 images using concept lattices
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Randomised pair comparison: an economic and robust method for audiovisual quality assessment
Proceedings of the 20th international workshop on Network and operating systems support for digital audio and video
Pick your layers wisely - a quality assessment of H.264 scalable video coding for mobile devices
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
SIVA suite: authoring system and player for interactive non-linear videos
Proceedings of the international conference on Multimedia
Hierarchical annotation of medical images
Pattern Recognition
Block-Based methods for image retrieval using local binary patterns
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Efficient spatio-temporal edge descriptor
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Query difficulty estimation for image retrieval
Neurocomputing
A benchmark for content-based retrieval in bivariate data collections
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Real web community based automatic image annotation
Computers and Electrical Engineering
Aesthetic capital: what makes london look beautiful, quiet, and happy?
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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The purpose of this paper is to show how the edge histogram descriptor for MPEG-7 can be efficiently utilized for image matching. Since the edge histogram descriptor recommended for the MPEG-7 standard represents only local edge distribution in an image, the matching performance for image retrieval may not be satisfactory. In this paper, to increase the matching performance, we propose to use the global and semi-local edge histograms generated directly from the local histogram bins. Then, the global, semi-global, and local histograms of two images are compared to evaluate the similarity measure. Since we exploit the absolute locations of edge in the image as well as its global composition, the proposed matching method is considered to be a more image content-based retrieval. Experimental results support this claim. Experiments on test images for MPEG-7 core experiment show that the proposed method yields better retrieval performance especially for semantic similarity.