HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents Export

@inproceedings{citeulike:4111484, abstract = {This article describes a sketch-based framework for semi-automatic annotation of historical document collections. It is motivated by the fact that fully automatic methods, while helpful for extracting metadata from large collections, have two main drawbacks in a real-world application: (i) they are error-prone and (ii) they only capture a subset of all the knowledge in the document base, both meaning that manual intervention is always required. Therefore, we have developed a practical framework for allowing experts to extract knowledge from document collections in a sketch-based scenario. The main possibilities of the proposed framework are: (a) browsing the collection efficiently, (b) providing gestures for metadata input, (c) supporting handwritten notes and (d) providing gestures for launching automatic extraction processes such as OCR or word spotting.}, author = {Mas, J. and Rodriguez, J. A. and Karatzas, D. and Sanchez, G. and Llados, J.}, booktitle = {Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on}, citeulike-article-id = {4111484}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/DAS.2008.70}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4670001}, doi = {10.1109/DAS.2008.70}, journal = {Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on}, keywords = {annotations, digital-archives, digital\_libraries--historical}, pages = {517--524}, posted-at = {2009-08-18 20:36:03}, priority = {3}, title = {HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents}, url = {http://dx.doi.org/10.1109/DAS.2008.70}, year = {2008} }

TY - CONF ID - citeulike:4111484 L3 - citeulike-article-id:4111484 N2 - This article describes a sketch-based framework for semi-automatic annotation of historical document collections. It is motivated by the fact that fully automatic methods, while helpful for extracting metadata from large collections, have two main drawbacks in a real-world application: (i) they are error-prone and (ii) they only capture a subset of all the knowledge in the document base, both meaning that manual intervention is always required. Therefore, we have developed a practical framework for allowing experts to extract knowledge from document collections in a sketch-based scenario. The main possibilities of the proposed framework are: (a) browsing the collection efficiently, (b) providing gestures for metadata input, (c) supporting handwritten notes and (d) providing gestures for launching automatic extraction processes such as OCR or word spotting. JF - Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on EP - 524 TI - HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents T2 - Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on SP - 517 KW - annotations KW - digital-archives KW - digital_libraries--historical AU - Mas, J AU - Rodriguez, JA AU - Karatzas, D AU - Sanchez, G AU - Llados, J PY - 2008/// UR - http://dx.doi.org/10.1109/DAS.2008.70 ER -