TY  - BOOK
AU  - Romero,Verónica
AU  - Toselli,Alejandro Héctor
AU  - Vidal,Enrique
TI  - Multimodal interactive handwritten text transcription
T2  - Series in machine perception and artificial intelligence
SN  - 9789814390347
AV  - QA76.9.U83 R66 2012eb
U1  - 006.425 23
PY  - 2012///
CY  - Singapore
PB  - World Scientific Pub
KW  - Natural language processing
KW  - fast
KW  - Writing
KW  - Data processing
KW  - Multimodal user interfaces (Computer systems)
KW  - Human-computer interaction
KW  - Écriture
KW  - Informatique
KW  - Interfaces utilisateurs multimodales (Systèmes informatiques)
KW  - COMPUTERS
KW  - Computer Vision & Pattern Recognition
KW  - bisacsh
KW  - Optical Data Processing
N1  - Includes bibliographical reference (pages 155-164) and index; 1. Preliminaries. 1.1. Introduction. 1.2. State of the art. 1.3. Formal background. 1.4. Assessing computer assisted transcription of handwritten text images -- 2. Corpora. 2.1. Introduction. 2.2. CS. 2.3. ODEC. 2.4. IAMDB. 2.5. UNIPEN -- 3. Handwritten text recognition. 3.1. Introduction. 3.2. Off-line handwritten text recognition. 3.3. On-line handwritten text recognition. 3.4. Summary and conclusions -- 4. Computer assisted transcription of handwritten text images. 4.1. Introduction. 4.2. Formal framework. 4.3. Adapting the language model. 4.4. Searching. 4.5. Increasing interaction ergonomy. 4.6. Interacting at the character level. 4.7. Experimental framework. 4.8. Results. 4.9. Conclusions and future work -- 5. Multimodal computer assisted transcription of handwritten text images. 5.1. Introduction. 5.2. Formal framework. 5.3. Adapting the language model. 5.4. Searching. 5.5. Experimental framework. 5.6. Results. 5.7. Conclusions -- 6. A web-based demonstrator of interactive multimodal transcription. 6.1. Introduction. 6.2. User interaction protocol. 6.3. System description. 6.4. Evaluation. 6.5. Results and discussion. 6.6. Conclusions -- 7. Conclusions and outlook. 7.1. Conclusions. 7.2. Outlook
N2  - This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than full automation, assists the expert in the recognition and transcription process. Until now, handwritten text recognition (HTR) systems are far from being perfect and heavy human intervention is often required to check and correct the results of such systems. The interactive scenario studied in this book combines the efficiency of automatic handwriting recognition systems with the accuracy of the experts, leading to a cost-effective perfect transcription of the handwritten text images. The interactive system here allows the user to repeatedly interact with the system. Hence, the quality and ergonomy of the interactive process is crucial for the success of the system. Moreover, more ergonomic multimodal interfaces are used to obtain an easier and more comfortable human-machine interaction
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=478626
ER  -