Automatically inserting ads into images
| Autor: | Sezer Kutluk, Ibrahim Omer Celik, Nafiz Arica, Onur Disanli, Erol Citak, Mustafa Furkan Eseoglu |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Deep learning 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 010501 environmental sciences Object (computer science) 01 natural sciences Visualization Identification (information) Face (geometry) Histogram 0502 economics and business Computer vision Artificial intelligence Enhanced Data Rates for GSM Evolution 050207 economics business 0105 earth and related environmental sciences |
| Zdroj: | SIU |
| DOI: | 10.1109/siu.2018.8404222 |
| Popis: | In this study a new method is proposed for inserting advertisement visuals into images automatically and without disturbing the image content. In this method important areas are determined using deep learning based object, face and text detection, edge and saliency maps are obtained, and these information are used for the identification of the best location for inserting the advertisement visual. In order to select the best available advertisement visual from an advertisement pool shape and color features are utilized. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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