Abstract
Mobile phone has been the major device for taking photos in our daily lives. In this paper, we create a novel iOS application called PhotoGuide to aid iPhone users for efficient photographing. The system automatically assesses the quality of the preview images from iPhone’s camera using attention-based perceptual assessment method, based on which the users could find an optimized camera-view and distance for taking the photos. According to the feedback from the users, the system will adaptively change the parameters shifting to a personalized working mode, which is design to satisfy specialized photographing environments and personal preference. We also designed a friendly user interface to improve the user experience. Comprehensive user studies well indicate the significant improvement both in photographic effect and user’s experience.
This work was supported in part by the National Science Foundation of China (No. 61071180 & No. 61133003) and the program of NEC (CHINA) CO., LTD. (LC04-20111205-08).
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Lujun, C., Hongxun, Y., Xiaoshuai, S., Hongming, Z. (2012). Real-Time Viewfinder Composition Assessment and Recommendation to Mobile Photographing. In: Lin, W., et al. Advances in Multimedia Information Processing – PCM 2012. PCM 2012. Lecture Notes in Computer Science, vol 7674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34778-8_66
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DOI: https://doi.org/10.1007/978-3-642-34778-8_66
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