Web image indexing by using associated texts

In order to index Web images, the whole associated texts are partitioned into a sequence of text blocks, then the local relevance of a term to the corresponding image is calculated with respect to both its local occurrence in the block and the distance of the block to the image. Thus, the overall relevance of a term is determined as the sum of all its local weight values multiplied by the corresponding distance factors of the text blocks. In the present approach, the associated text of a Web image is firstly partitioned into three parts, including a page oriented text (TM), a link oriented text (LT) and a caption oriented text (BT). Since the big size and semantic divergence, the caption oriented text is further partitioned into finer blocks based on the tree structure of the tag elements within the BT text. During the processing, all heading nodes are pulled up in order to correlate with their semantic scopes, and a collapse algorithm is also exploited to remove the empty blocks. In o...

• Type: Journal
• Year: 2006
• Where: KAIS
• Authors: Zhiguo Gong, Leong Hou U, Chan Wa Cheang
• Keywords: Caption Oriented Text, Images, KAIS 2006, Text Blocks