TY - GEN
T1 - Score Prediction Network and Graph-based Selection for Semantic Line Detection
AU - Jin, Dongkwon
AU - Kim, Chang Su
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2016-0-00464) supervised by the IITP(Institute for Information & communications Technology Promotion).
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - In this paper, we propose a novel semantic line detection algorithm. For an input image, we first detect semantic lines using a semantic line detector by classifying candidate lines. Then, we predict scores indicating whether they are harmonized or not between the detected lines. To this end, we develop a score prediction network (SPNet). Finally, we construct a graph consisting of the detected lines and the predicted scores between them and iteratively select the reliable semantic lines. Experimental results demonstrate that the proposed algorithm detects semantic lines accurately.
AB - In this paper, we propose a novel semantic line detection algorithm. For an input image, we first detect semantic lines using a semantic line detector by classifying candidate lines. Then, we predict scores indicating whether they are harmonized or not between the detected lines. To this end, we develop a score prediction network (SPNet). Finally, we construct a graph consisting of the detected lines and the predicted scores between them and iteratively select the reliable semantic lines. Experimental results demonstrate that the proposed algorithm detects semantic lines accurately.
KW - Semantic lines
KW - graph-based selection
KW - line detection
KW - score prediction
UR - http://www.scopus.com/inward/record.url?scp=85098952964&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098952964&partnerID=8YFLogxK
U2 - 10.1109/ICTC49870.2020.9289236
DO - 10.1109/ICTC49870.2020.9289236
M3 - Conference contribution
AN - SCOPUS:85098952964
T3 - International Conference on ICT Convergence
SP - 391
EP - 393
BT - ICTC 2020 - 11th International Conference on ICT Convergence
PB - IEEE Computer Society
T2 - 11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Y2 - 21 October 2020 through 23 October 2020
ER -