Simple fast algorithms for the editing distance between trees and related problems
SIAM Journal on Computing
On the editing distance between unordered labeled trees
Information Processing Letters
Image processing on compressed data for large video databases
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Automatic partitioning of full-motion video
Multimedia Systems
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Automatic content-based retrieval of broadcast news
Proceedings of the third ACM international conference on Multimedia
Production model based digital video segmentation
Multimedia Tools and Applications
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Communications of the ACM
Shape quantization and recognition with randomized trees
Neural Computation
On a relation between graph edit distance and maximum common subgraph
Pattern Recognition Letters
A spatial match retrieval mechanism for symbolic pictures
Journal of Systems and Software
The String-to-String Correction Problem
Journal of the ACM (JACM)
A spatial knowledge structure for image information systems using symbolic projections
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieval of still images by content
Lectures on information retrieval
ImageMap: An Image Indexing Method Based on Spatial Similarity
IEEE Transactions on Knowledge and Data Engineering
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Graph multidimensional scaling with self-organizing maps
Information Sciences—Informatics and Computer Science: An International Journal
Recognition of Planar Object Classes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Blobworld: a System for Region-based Image Indexing and Retrieval
Blobworld: a System for Region-based Image Indexing and Retrieval
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Extensions of marginalized graph kernels
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Sketched Symbol Recognition using Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Pictorial Structures for Object Recognition
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Database Design Based on 9D-SPA Representation for Spatial Relations
IEEE Transactions on Knowledge and Data Engineering
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
Thick 2D relations for document understanding
Information Sciences—Informatics and Computer Science: An International Journal
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Randomized Trees for Real-Time Keypoint Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Shortest-Path Kernels on Graphs
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Bridging the Gap Between Graph Edit Distance and Kernel Machines
Bridging the Gap Between Graph Edit Distance and Kernel Machines
Indexing pictorial documents by their content: a survey of current techniques
Image and Vision Computing
A graph matching method and a graph matching distance based on subgraph assignments
Pattern Recognition Letters
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning graph prototypes for shape recognition
Computer Vision and Image Understanding
Picture Indexing and Abstraction Techniques for Pictorial Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sampling strategies for bag-of-features image classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Object categorization using kernels combining graphs and histograms of gradients
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Weighted walkthroughs between extended entities for retrieval by spatial arrangement
IEEE Transactions on Multimedia
Texture coding using a Wold decomposition model
IEEE Transactions on Image Processing
Fast K-means algorithm based on a level histogram for image retrieval
Expert Systems with Applications: An International Journal
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Here, we propose an automatic system to annotate and retrieve images. We assume that regions in an image can be described using a vocabulary of blobs. Blobs are generated from image features using clustering. Features are locally extracted on regions to capture Color, Texture and Shape information. Regions are processed by an efficient segmentation algorithm. Images are structured into a region adjacency graph to consider spatial relationships between regions. This representation is used to perform a similarity search into an image set. Hence, the user can express his need by giving a query image, and thereafter receiving as a result all similar images. Our graph based approach is benchmarked to conventional Bag of Words methods. Results tend to reveal a good behavior in classification of our graph based solution on two publicly available databases. Experiments illustrate that a structural approach requires a smaller vocabulary size to reach its best performance.