HMM-based efficient sketch recognition

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2005, Pages 281-283

  Sezgin, Tevfik Metin ^a   Davis, Randall ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Enabling input technologies; Intelligent user interfaces; Interpretation of user input; Sketch recognition

Indexed keywords

ENABLING INPUT TECHNOLOGIES; INTELLIGENT USER INTERFACES; INTERPRETATION OF USER INPUT; SKETCH RECOGNITION;

ALGORITHMS; INTERACTIVE COMPUTER SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; POLYNOMIALS; USER INTERFACES;

PATTERN RECOGNITION;

EID: 33644608748     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1040830.1040899     Document Type: Conference Paper

References (8)

1. Rabiner L. R. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE, Vol. 77, no 2, February 1989.
2. Sezgin T. M., Stahovich T. and Davis R. Sketch Based Interfaces: Early Processing for Sketch Understanding. PUI'01.
3. Alvarado C., Oltmans M. and Davis R. A Framework for Multi-Domain Sketch Recognition. AAAI Sketch Symposium 2002..
4. Sezgin T. M. Generating Domain Specific Sketch Recognizers from Object Descriptions. Student Oxygen Workshop. July 17, Gloucester MA, 2002.
5. Stahovich T., Landay J. and Davis R., Chairs. AAAI Sketch Understanding Symposium. March 25-27, Stanford CA, 2002.
6. Saul Simhon and Gregory Dudek Sketch interpretation and refinement using statistical models Eurographics Symposium on Rendering. Norrkoping, Sweden, 2004.
7. Mahoney V. J., and Fromherz M. P. J. Three main concerns in sketch recognition and an approach to addressing them. AAAI Spring Symposium: Sketch Understanding. March 25-27, Stanford CA, 2002.
8. Shilman M., Pasula H., Russel S. and Newton R. Statistical Visual Language Models for Ink Parsing. AAAI Spring Symposium: Sketch Understanding. March 25-27, Stanford CA, 2002.