A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Duplicate detection in consumer photography and news video
Proceedings of the tenth ACM international conference on Multimedia
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Color image quantization for frame buffer display
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
ACM SIGGRAPH 2006 Papers
Smart album: photo filtering by effect detections
ACM SIGGRAPH 2008 posters
Blocked recursive image composition
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Fast near duplicate detection for personal image collections
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Blog2Book: transforming blogs into photo books employing aesthetic principles
Proceedings of the international conference on Multimedia
Automatic creation of photo books from stories in social media
Proceedings of second ACM SIGMM workshop on Social media
Selection of Photos for Album Building Applications
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Employing aesthetic principles for automatic photo book layout
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
MetaXa—Context- and content-driven metadata enhancement for personal photo books
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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Photo books are a convenient and attractive product for printing and storage of personal photographs. However, the creation of a photo book requires a lot of manual work and time. The automation of operations will attract new users and will make it possible to create more photo books. Algorithms should be sufficiently fast enough, tune in to the tastes and habits of the user, and ensure a quality of work that satisfies the user. We propose several adaptive algorithms for creating photo books, i.e., the recognition of normal quality photos based on active learning, clustering images by event, selection of the most attractive photos, automatic placement of images on the page, and creation of collages. Approaches are also proposed for the adjustment of algorithms to the tastes and habits of the user in the process of operation.