Title :
Relevant image pre-filtering in automatic image orientation correction
Author :
Takahashi, Yusuke ; Oami, Ryoma
Author_Institution :
Inf. & Media Process. Labs., NEC Corp., Kawasaki, Japan
Abstract :
In this paper, we propose a method for improving automatic image orientation correction by relevant image pre-filtering. We find out that users feel more stress on false positives than false negatives in automatic correction through a user study. A strategy based on this finding is devised and our method realizes this strategy by filtering out irrelevant images which are likely to become false positives. The accuracy evaluations with actual personal photos show improvements of the precision from 94% to 98% at the recall ratio of 15%, and from 97.5% to 100% at the recall ratio of 10%. A subjective survey concludes the proposed pre-filtering alleviates the users´ annoyance for automatic orientation corrections.
Keywords :
content-based retrieval; image processing; image retrieval; automatic image orientation correction; image pre-filtering; irrelevant images; Accuracy; Feature extraction; Filtering; Semantics; Stress; Support vector machines; Training data; Automatic Orientation Correction; Orientation Detection;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652642