International Journal of Computer Vision
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Texture image retrieval using rotated wavelet filters
Pattern Recognition Letters
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Analysis Using Hahn Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image retrieval based on the texton co-occurrence matrix
Pattern Recognition
Description of interest regions with local binary patterns
Pattern Recognition
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
Image retrieval based on multi-texton histogram
Pattern Recognition
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Markov Random Field Texture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Color object detection using spatial-color joint probability functions
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Content-based image retrieval using color difference histogram
Pattern Recognition
A novel method for image retrieval based on structure elements' descriptor
Journal of Visual Communication and Image Representation
Color texture classification based on gravitational collapse
Pattern Recognition
Layered analysis of irregular facades via symmetry maximization
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Undo the codebook bias by linear transformation for visual applications
Proceedings of the 21st ACM international conference on Multimedia
A novel image retrieval method based on mutual information descriptors
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Information Sciences: an International Journal
Image indexing using the color and bit pattern feature fusion
Journal of Visual Communication and Image Representation
Short Communication: A rectilinear Gaussian model for estimating straight-line parameters
Journal of Visual Communication and Image Representation
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This paper presents a simple yet efficient image retrieval approach by proposing a new image feature detector and descriptor, namely the micro-structure descriptor (MSD). The micro-structures are defined based on an edge orientation similarity, and the MSD is built based on the underlying colors in micro-structures with similar edge orientation. With micro-structures serving as a bridge, the MSD extracts features by simulating human early visual processing and it effectively integrates color, texture, shape and color layout information as a whole for image retrieval. The proposed MSD algorithm has high indexing performance and low dimensionality. Specifically, it has only 72 dimensions for full color images, and hence it is very efficient for image retrieval. The proposed method is extensively tested on Corel datasets with 15,000 natural images. The results demonstrate that it is much more efficient and effective than representative feature descriptors, such as Gabor features and multi-textons histogram, for image retrieval.