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Showing posts from July, 2017

Scoring the composed photos

Image Aesthetics Scoring Engine The developed engine gets the image and outputs a score showing the amount of the beauty inside the image! The code is working on Android/iOS platform, The engine speed is about 100-200 ms which makes it suitable for a real-time engine. The core exploits GPU to compute aesthetic features from the image, and estimate the aesthetic score. AndroidComputer VisionDemoiOSResearch.

Maryam Mirzakhani, professor at Stanford, Fields Medal winner, mother

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Maryam Mirzakhani was first women to win maths' Fields Medal. She would be in our mind forever. RIP
in Farshid Farhat 's Twitter





Integrating Deep-learned Models

Integrating Deep-learned Models and Photography Idea RetrievalIntelligent Portrait Composition Assistance (IPCA) – Integrating Deep-learned Models and Photography Idea Retrieval, Farshid Farhat, Mohammad Kamani, Sahil Mishra, James Wang, ACM Multimedia 2017, Mountain View, CA, USA. ABSTRACT: Retrieving photography ideas corresponding to a given location facilitates the usage of smart cameras, where there is a high interest among amateurs and enthusiasts to take astonishing photos at anytime and in any location. Existing research captures some aesthetic techniques such as the rule of thirds, triangle, and perspectiveness, and retrieves useful feedbacks based on one technique. However, they are restricted to a particular technique and the retrieved results have room to improve as they can be limited to the quality of the query. There is a lack of a holistic framework to capture important aspects of a given scene and give a novice photographer informative feedback to take a better shot in…