Query by content, or content-based retri has recently been proposed as an alternative to text-based retri for media such as images, video and audio. Text-based retri is no longer appropriate for indexing such media, for several reasons. Firstly, keyword annotation is labor intensive, and it is not even possible when large sets of images are to be indexed. Secondly, these annotations are drawn a predefined set of keywords which cannot cover all possible concepts images may represent. Finally, keywords assignment is subjective to the person making it. Therefore, content-based image retri (CBIR) systems propose to index the media documents based on features extracted their content rather than by textual annotations. For still images, these features can be color, shape, texture, objects layout, edge direction, etc.

0alaya-cheikh2004.pdf

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