Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Emergent Semantics through Interaction in Image Databases
IEEE Transactions on Knowledge and Data Engineering
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM - Supporting exploratory search
Improving accessibility of the web with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
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Marking the image content with descriptive keywords (also known as tags) is an effective way of improving the accessibility of images. However, doing so practically is boring as well as laborious to most humans. In the recent times, there have been number of attempts to inspire humans to annotate images. Notable examples are social tagging like Flickr and online games like ESP. However, existing methods in their present form are inadequate to result in annotations of superior quality. Therefore, we present GoFish, an intelligent system for semantic annotation of images. GoFish is a web variant of standard Go Fish, a popular playing card game. GoFish utilizes the theory of Emergent Semantics to ensure that all images will have superior tags. We describe the complete design of the game and discuss its benefits. Results of a preliminary user study are encouraging.