TY - GEN
T1 - Proposal of seam degree and content similarity for web page segmentation
AU - Zeng, Jun
AU - Flanagan, Brendan
AU - Xiong, Qingyu
AU - Wen, Junhao
AU - Hirokawa, Sachio
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Page segmentation has received great attention in recent years. However, most research has been based on some pre-defined heuristics or visual cues which may be not suitable for large-scale page segmentation. In this paper, we proposed two parameters: seam degree and content similarity, to indicate the coherent degree of a page block. Instead of analyzing pre-defined heuristics or visual cues, our method utilizes the visual and content features to determine whether a page block should be divided into smaller blocks. We also proposed a principled page segmentation method using these two parameters. An experiment was conducted to determine the relationship between the two parameters and the number of segment results. The empirical results also show that our segmentation method can effectively segment a page into different semantic parts.
AB - Page segmentation has received great attention in recent years. However, most research has been based on some pre-defined heuristics or visual cues which may be not suitable for large-scale page segmentation. In this paper, we proposed two parameters: seam degree and content similarity, to indicate the coherent degree of a page block. Instead of analyzing pre-defined heuristics or visual cues, our method utilizes the visual and content features to determine whether a page block should be divided into smaller blocks. We also proposed a principled page segmentation method using these two parameters. An experiment was conducted to determine the relationship between the two parameters and the number of segment results. The empirical results also show that our segmentation method can effectively segment a page into different semantic parts.
UR - http://www.scopus.com/inward/record.url?scp=84890043604&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890043604&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2013.56
DO - 10.1109/IIAI-AAI.2013.56
M3 - Conference contribution
AN - SCOPUS:84890043604
SN - 9780769550718
T3 - Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
SP - 9
EP - 14
BT - Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
T2 - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
Y2 - 31 August 2013 through 4 September 2013
ER -