TY - GEN
T1 - Scenery character detection with environmental context
AU - Kunishige, Yasuhiro
AU - Feng, Yaokai
AU - Uchida, Seiichi
PY - 2011/12/2
Y1 - 2011/12/2
N2 - For scenery character detection, we introduce environmental context, which is modeled by scene components, such as sky and building. Environmental context is expected to regulate the probability of character existence at a specific region in a scenery image. For example, if a region looks like a part of a building, the region has a higher probability than another region like a part of the sky. In this paper, environmental context is represented by state-of-the-art texture and color features and utilized in two different ways. Through experimental results, it was clearly shown that the environmental context has an effect of improving detection accuracy.
AB - For scenery character detection, we introduce environmental context, which is modeled by scene components, such as sky and building. Environmental context is expected to regulate the probability of character existence at a specific region in a scenery image. For example, if a region looks like a part of a building, the region has a higher probability than another region like a part of the sky. In this paper, environmental context is represented by state-of-the-art texture and color features and utilized in two different ways. Through experimental results, it was clearly shown that the environmental context has an effect of improving detection accuracy.
UR - http://www.scopus.com/inward/record.url?scp=82355186222&partnerID=8YFLogxK
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U2 - 10.1109/ICDAR.2011.212
DO - 10.1109/ICDAR.2011.212
M3 - Conference contribution
AN - SCOPUS:82355186222
SN - 9780769545202
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 1049
EP - 1053
BT - Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011
T2 - 11th International Conference on Document Analysis and Recognition, ICDAR 2011
Y2 - 18 September 2011 through 21 September 2011
ER -