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Cynthia Atherton. REU Program: Week 2 Presentation. Decisions, Decisions…. Annotation Hand Detection. Annotation Papers. “Automatically Annotating Images with Keywords: A Review of Image Annotation Systems”
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Cynthia Atherton REU Program: Week 2 Presentation
Decisions, Decisions… • Annotation • Hand Detection
Annotation Papers • “Automatically Annotating Images with Keywords: A Review of Image Annotation Systems” by Chih-Fong Tsai1,Department of Accounting and Information Technology, National Chung Cheng University, Taiwan, * and ChihliHung Department of Management Information Systems, Chung Yuan Christian University, Taiwan
Annotation Paper Overview • Content-Based Image Retrieval (CBIR) systems extract and retrieve images by low-level features (e.g., color, texture, shape) but do not allow users to query images by semantic meanings The problem is that humans typically query images based on semantics • Image annotation systems annotate images with some controlled keywords • Machine learning techniques aid in the development of image annotation systems, mapping low-level (visual) features to high-level concepts or semantics
Hand Detection Paper • “Recognizing American Sign Language Letters Using Principal Component Analysis”, by A. Geigelg http://geigel.com/signlanguage/paper.php Classification of sign language letters using Principal Component Analysis
Research Project • Hand Detection • Computer vision/Machine learning • Communications/Culture
Plan for near future • Continue absorbing “Hand Detection and Segmentation in Cluttered Environments” by Christopher Schwarz and Niels da Vitoria Lobo School of Computer Science, University of Central Florida, Orlando, FL • Learn the Code for the Hand Detection Program Java • Get with Alex Kachurin and Dr. Lobo to learn more