DocumentCode :
727460
Title :
An exploratory study to identify relevant cues for the deletion of faces for multimedia retrieval
Author :
Ritter, Marc ; Bahr, Gisela Susanne
Author_Institution :
Dept. of Media Comput., Tech. Univ. Chemnitz, Chemnitz, Germany
fYear :
2015
fDate :
June 29 2015-July 3 2015
Firstpage :
1
Lastpage :
6
Abstract :
Within our approach to big data, we reduce the number of images in video footage by applying a shot detection with a keyframe extraction of single frames. This can be followed by duplicate removal and face detection processes yielding to a further data reduction. Nevertheless, additional reductions steps are necessary in order to make the data manageable (searchable) for the end user in a meaningful way. Therefore, we investigated human inspired forgetting as a data reduction tool. We conducted an exploratory study on a subset of the remaining face data to examine patterns in the selection process of faces that are considered most memorable showing a potential of roughly above 75 % for elimination. The results of the study considered the quality and the size of the faces as important measures. In these terms, we finally show a connection to characteristics of state-of-the-art face detectors.
Keywords :
Big Data; data reduction; face recognition; information retrieval; object detection; video signal processing; big data; data reduction tool; face deletion; face detection process; keyframe extraction; multimedia retrieval; selection process; shot detection; single frame; video footage; Data mining; Detectors; Face detection; Feature extraction; Indexes; Standards; Training; Big Data; Face Detection; Face Sizes; Forgetting; Most Memorable Faces; Shot Detection; Video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia & Expo Workshops (ICMEW), 2015 IEEE International Conference on
Conference_Location :
Turin
Type :
conf
DOI :
10.1109/ICMEW.2015.7169806
Filename :
7169806
Link To Document :
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