TY - GEN
T1 - Advertisement Detection, Segmentation, and Classification for Newspaper Images and Website Snapshots
AU - Chu, Wei Ta
AU - Chang, Han Yuan
PY - 2017/2/16
Y1 - 2017/2/16
N2 - Advertisement plays an important role in the human society. Advertisement studies are related to many important issues in economics, social science, and marketing. In this paper, we propose a system to detect, segment, and classify advertisements from newspaper images and website snapshots, in order to facilitate advertisement studies. First, we detect advertisement candidates based on a connected components method. We then design rule-based filters and learning-based filters to remove non-advertisement candidates. From the remained advertisement candidates, we extract visual features and construct classifiers to classify them into predefined advertisement categories. Based on the advertisement categories published over years, we uncover several interesting statistics derived from newspaper front pages and website snapshots.
AB - Advertisement plays an important role in the human society. Advertisement studies are related to many important issues in economics, social science, and marketing. In this paper, we propose a system to detect, segment, and classify advertisements from newspaper images and website snapshots, in order to facilitate advertisement studies. First, we detect advertisement candidates based on a connected components method. We then design rule-based filters and learning-based filters to remove non-advertisement candidates. From the remained advertisement candidates, we extract visual features and construct classifiers to classify them into predefined advertisement categories. Based on the advertisement categories published over years, we uncover several interesting statistics derived from newspaper front pages and website snapshots.
UR - http://www.scopus.com/inward/record.url?scp=85015322796&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015322796&partnerID=8YFLogxK
U2 - 10.1109/ICS.2016.0086
DO - 10.1109/ICS.2016.0086
M3 - Conference contribution
AN - SCOPUS:85015322796
T3 - Proceedings - 2016 International Computer Symposium, ICS 2016
SP - 396
EP - 401
BT - Proceedings - 2016 International Computer Symposium, ICS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Computer Symposium, ICS 2016
Y2 - 15 December 2016 through 17 December 2016
ER -