Anecdotes extraction from webpage context as image annotation
Chuen-Min Huang Department of Information Management, National Yunlin University of Science & Technology, Yunlin, Taiwan, ROC
Abstract
Traditional feature-based or text processing techniques tend to assign the same annotation to all the images in the same cluster without considering the latent semantic anecdotes of each image. In this research, we propose the Chinese lexical chain processing method which is a bottom-up concatenating process based on the intensity and the degree of a lexical chain (LC) to extract the most meaningful LCs as anecdotes from a string. It requires minimum computation that allows sharing characters/words and facilitating their use at fine ...
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