Title :
Event-driven retrieval in collaborative photo collections
Author :
Brenner, Markus ; Izquierdo, Ebroul
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
Abstract :
We present an approach to retrieve photos relating to social events in collaborative photo collections. Compared to traditional approaches that typically consider only the visual features of photos as a source of information, we incorporate multiple additional contextual cues like date and time, location and usernames to improve retrieval performance. Experiments based on the MediaEval Social Event Detection Dataset demonstrate the effectiveness of our approach.
Keywords :
feature extraction; image retrieval; collaborative photo collections; event-driven retrieval; information source; mediaeval social event detection dataset; multiple additional contextual cues; photo retrieval; social events; visual features; Collaboration; Event detection; Feature extraction; Static VAr compensators; Support vector machines; Visualization; Xenon; Collaborative Collections; Event; Photo; Retrieval;
Conference_Titel :
Image Analysis for Multimedia Interactive Services (WIAMIS), 2013 14th International Workshop on
Conference_Location :
Paris
DOI :
10.1109/WIAMIS.2013.6616121