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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ratsamee, P. Mae, Y. Jinda-apiraksa, A. Machajdik, J. Ohara, K. Kojima, M. Sablatnig, R. Arai, T. |
| Copyright Year | 2013 |
| Description | Author affiliation: Adv. Digital Sci. Center (ADSC), Univ. of Illinois at Urbana-Champaign, Singapore, Singapore (Jinda-apiraksa, A.) || Fac. of Sci. & Technol., Meijo Univ., Nagoya, Japan (Ohara, K.) || Comput. Vision Lab., Vienna Univ. of Technol. (TU Wien), Vienna, Austria (Machajdik, J.; Sablatnig, R.) || Fac. of Syst. Sci. & Appl. Inf., Osaka Univ., Osaka, Japan (Ratsamee, P.; Mae, Y.; Kojima, M.; Arai, T.) |
| Abstract | Keyframe selection is the process of finding a representative frame in an image sequence. Although mostly known from video processing, keyframe selection faces new challenges in the lifelog domain. To obtain a keyframe that is close to a user-selected frame, we propose a keyframe selection method based on image quality measurements and excitement features. Image quality measurements such as contrast, color variance, sharpness, noise and saliency are used to filter high quality images. However, high quality images are not necessarily keyframes because humans also use emotions in the selection process. In this study, we employ a biosensor to measure the excitement of humans. In previous investigation, keyframe selection using only image quality measurements yielded an acceptance rate of 79.70%. Our proposed method achieves an acceptance rate of 84.45%. |
| Sponsorship | IEEE Ind. Electron. Soc. |
| Starting Page | 5215 |
| Ending Page | 5220 |
| File Size | 9410090 |
| Page Count | 6 |
| File Format | |
| ISSN | 21530858 |
| DOI | 10.1109/IROS.2013.6697110 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-03 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image quality Visualization Image color analysis Biosensors Noise measurement Image sequences Colored noise |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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