Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Page Segmentation Using Document Model
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Document Image Layout Comparison and Classification
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Zone Classification Using Texture Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A flexible image retrieval using explicit visual instruction
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Multimedia thumbnails for documents
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A Visual Technique for Web Pages Comparison
Electronic Notes in Theoretical Computer Science (ENTCS)
Retrieval of document images based on page layout similarity
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Modeling reader's emotional state response on document's typographic elements
Advances in Human-Computer Interaction
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In this paper we propose to define a measure of visualsimilarity to compare different pages in a corpus. Thismeasure is based on the analysis of the visual layoutsaliency of the page composition. This similarity iscomputed using both the document layout andcharacteristics of the text itself. The text characterizationuses statistical features derived from textural primitives.Our purpose is to establish perceptive links betweendocuments in order to facilitate their storage and theirretrieval. In this paper we present two possibleapplications of this measure of similarity: the query ofthe corpus by example and the documents classification.In the first application, we extract documents that are themost visually similar to a document, given as query. Inthe second application, the similarity measure is used toclassify the document under investigation using its visualsimilarity to a reference set of documents. Our test corpusis extracted from the Finland MTDB Oulu multi-genredatabase that provides a great diversity of page layoutsand contents.