مقاله Collaborative Personalization of Image Enhancement : تی پی بین

خلاصه مقاله

This paper presents methods for personalization of image enhancement, which could be deployed in photo editing software and also in cloud-based image sharing services. We observe that users do have different preferences for enhancing images and that there are groups of people that share similarities in preferences. Our goal is to predict enhancements for novel images belonging to a particular user based on her specific taste, to facilitate the retouching process on large image collections. To that end, we describe an enhancement framework that can learn user preferences in an individual or collaborative way. The proposed system is based on a novel interactive application that allows to collect user’s enhancement preferences. We propose algorithms to predict personalized enhancements by learning a preference model from the provided information. Furthermore, the algorithm improves prediction performance as more enhancement examples are progressively added. We conducted experiments via Amazon Mechanical Turk to collect preferences from a large group of people. Results show that the proposed framework can suggest image enhancements more targeted to individual users than commercial tools with global auto-enhancement functionalities.

نویسندگان

Ashish Kapoor [ Microsoft Research, One Microsoft Way, Redmond, WA , 98052, USA ]

Juan C. Caicedo [ University of Illinois at Urbana-Champaign, 201 North Goodwin Ave., Urbana, IL, 61801, USA ]

Dani Lischinski [ The Hebrew University of Jerusalem, Room 73, Ross Building,The Edmond J. Safra Campus, Jerusalem , 91904, Israel ]

Sing Bing Kang [ Microsoft Research, One Microsoft Way, Redmond, WA , 98052, USA ]

کلمات کلیدی

Image enhancement Personalization Collaborative filtering Crowdsourcing

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مشاهده مقالات

International Journal of Computer Vision 2013

International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Short articles provide a fast publication path for novel research results. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics. Coverage includes: - Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors. - Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more. - Connections with human perception: computational and architectural aspects of human vision. The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.

حوزه های تحت پوشش : IT & Software, Electronics, Engineering, Aerospace, Telecommunications, Automotive