Ideas and Information
How many high-level concepts will fill the semantic gap in news video retrieval?
Proceedings of the 6th ACM international conference on Image and video retrieval
Real-World Image Annotation and Retrieval: An Introduction to the Special Section
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Semantic Annotation of Real-World Web Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design and implementation of geo-tagged video search framework
Journal of Visual Communication and Image Representation
Geotagging in multimedia and computer vision--a survey
Multimedia Tools and Applications
Energy-efficient mobile video management using smartphones
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Energy Conservation for Image Retrieval on Mobile Systems
ACM Transactions on Embedded Computing Systems (TECS)
Content-based annotation and classification framework: a general multi-purpose approach
Proceedings of the 17th International Database Engineering & Applications Symposium
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The paper points out that while automatic image tagging is often studied in connection with content-image image retrieval (CBIR), it is actually a much harder problem. Given the difficulty of the latter, the prospects for automatic image tagging do not appear promising. A brief survey of the current state of the art confirms that conclusion. Then the paper discusses an effort to tag images based on nonpixel data and proceeds with the outline of a case where the difficulty of automatic tagging is taken advantage to construct image based CAPTCHA to distinguish human users from web-bots. That has led to certain interesting approaches to achieve reliable human tagging that is needed for the CAPTCHA application.