Relaxation labelling algorithms-a review
Image and Vision Computing
Algorithms for clustering data
Algorithms for clustering data
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Mathematical Software (TOMS)
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Dissimilarity representations allow for building good classifiers
Pattern Recognition Letters
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Hidden Tree Markov Models for Document Image Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Properties of Embedding Methods for Similarity Searching in Metric Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Classification Using Layout Analysis
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Orientation Radiograms for Image Retrieval: An Alternative to Segmentation
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Content Analysis in Document Images: A Scale Space Approach
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Document Images Analysis Solutions for Digital libraries
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
A Binarization Algorithm specialized on Document Images and Photos
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Digital Bleaching and Content Extraction for the Digital Archive of Rare Books
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
AGORA: the Interactive Document Image Analysis Tool of the BVH Project
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
DEBORA: Digital AccEss to BOoks of the RenAissance
International Journal on Document Analysis and Recognition
Keyword-guided word spotting in historical printed documents using synthetic data and user feedback
International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
Enhancing HSV histograms with achromatic points detection for video retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Document Images Retrieval Based on Multiple Features Combination
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Document Image Segmentation Using a 2D Conditional Random Field Model
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
International Journal on Document Analysis and Recognition
Automatic seeded region growing for color image segmentation
Image and Vision Computing
Fast block based connected components labeling
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Wavelet-based statistical signal processing using hidden Markovmodels
IEEE Transactions on Signal Processing
Relevance feedback strategies for artistic image collections tagging
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
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The artistic content of historical manuscripts provides a lot of challenges in terms of automatic text extraction, picture segmentation and retrieval by similarity. In particular this work addresses the problem of automatic extraction of meaningful pictures, distinguishing them from handwritten text and floral and abstract decorations. The proposed solution firstly employs a circular statistics description of a directional histogram in order to extract text. Then visual descriptors are computed over the pictorial regions of the page: the semantic content is distinguished from the decorative parts using color histograms and a novel texture feature called Gradient Spatial Dependency Matrix. The feature vectors are finally processed using an embedding procedure which allows increased performance in later SVM classification. Results for both feature extraction and embedding based classification are reported, supporting the effectiveness of the proposal on high resolution replicas of artistic manuscripts.