Robot vision
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image classification for content-based indexing
IEEE Transactions on Image Processing
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It is vital that we must have a major breakthrough on image semantic perception before text-based image retrieval can be replaced by content-based methods, hereby finding that solution becomes the theme of our article. We have drawn a framework of a calculation model built on the foundation of modern logic, cognitive psychology and multimedia technology, which involves the usage of eye tracker. Still it is a framework needs detailing, but it has already opened a new prospect of theoretical research assisted with practical engineering.