TY - GEN
T1 - Training data collection system for a learning-based photographic aesthetic quality inference engine
AU - Orendovici, Razvan
AU - Wang, James
PY - 2010/12/1
Y1 - 2010/12/1
N2 - We present a novel data collection system deployed for the ACQUINE - Aesthetic Quality Inference Engine. The goal of the system is to collect online user opinions, both structured and unstructured, for training future generation learning-based aesthetic quality inference engines. The development of the system was based on an analysis of over 60,000 user comments of photographs. For photos processed and rated by our engine, all users are invited to provide manual ratings. The users can also choose up to three key photographic features that the user liked, from a list, or to add features not in the list. Within a few months that the system is available for public used more than 20,000 photos have received manual ratings and key features for over 1,800 photos have been identified. We expect the data generated over time will be critical in the study of computational inferencing of visual aesthetics in photographs. The system is demonstrated at http://acquine.alipr.com
AB - We present a novel data collection system deployed for the ACQUINE - Aesthetic Quality Inference Engine. The goal of the system is to collect online user opinions, both structured and unstructured, for training future generation learning-based aesthetic quality inference engines. The development of the system was based on an analysis of over 60,000 user comments of photographs. For photos processed and rated by our engine, all users are invited to provide manual ratings. The users can also choose up to three key photographic features that the user liked, from a list, or to add features not in the list. Within a few months that the system is available for public used more than 20,000 photos have received manual ratings and key features for over 1,800 photos have been identified. We expect the data generated over time will be critical in the study of computational inferencing of visual aesthetics in photographs. The system is demonstrated at http://acquine.alipr.com
UR - http://www.scopus.com/inward/record.url?scp=78650982807&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650982807&partnerID=8YFLogxK
U2 - 10.1145/1873951.1874290
DO - 10.1145/1873951.1874290
M3 - Conference contribution
AN - SCOPUS:78650982807
SN - 9781605589336
T3 - MM'10 - Proceedings of the ACM Multimedia 2010 International Conference
SP - 1575
EP - 1578
BT - MM'10 - Proceedings of the ACM Multimedia 2010 International Conference
T2 - 18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10
Y2 - 25 October 2010 through 29 October 2010
ER -