抄録
LifeLog data is summarized by extracting the data that has most attracted users from vast amounts of information in the LifeLog data. However, because this information is personal and its characteristics vary from person to person, a new technique for estimating individual users interests is needed. We propose a method that infers the importance of each LifeLog photo based on the users photo browsing history. We developped a browsing system that displays photos captured with wearable cameras and records the photo browsing history of the user. Using visual techniques such as HSV histograms and bag-of-features in combination with the RankBoost algorithm enabled us to successfully estimate the importance of unknown photos.
収録刊行物
- 映像情報メディア学会誌 : 映像情報メディア = The journal of the Institute of Image Information and Television Engineers
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映像情報メディア学会誌 : 映像情報メディア = The journal of the Institute of Image Information and Television Engineers 64(2), 237-240, 2010-02-01
社団法人 映像情報メディア学会