Mathias Lux
Mario Taschwer
Oge Marques
ABSTRACT
Many photo-taking scenarios have emotional triggers such as happiness, joy, or in general a "good feeling". In this paper we postulate that if a photo was taken to preserve a good feeling, it will most likely trigger a good feeling when re-visiting the photo later on. We present an approach to classify photos and decide automatically whether they have been taken to preserve a good feeling or not. We employ an annotated data set to create a model and apply this model to enhance classical image search. The result is a novel search approach, demonstrated by a proof-of-concept application capable of performing keyword-based search and filtering out the results that are considered unlikely to convey a good feeling to the viewer.
Supplemental Material
- G. I. Webb, J. R. Boughton, and Z. Wang. Not so naive Bayes: Aggregating one-dependence estimators. Mach. Learn., 58(1):5--24, Jan. 2005. Google Scholar
Digital Library
Index Terms
- Classification of photos based on good feelings: ACM MM 2012 multimedia grand challenge submission
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