DEED - Deep Digital

Description

The DEED project aims to develop a system based on deep learning techniques for digital marketing. Deep learning has gained major popularity in automated feature extraction from images, audio and text. The project tackles in a first phase a graphic logo detection system based on a fast region-based convolutional networks (FRCN) and transfer learning. In a second case phase a robust facial emotions recognition based on an improved version of the classic CNN-LeNet-5 will be built and compared to deeper networks such as GoogleNet and AlexNet. Last but not least, the system will look at recognition of brands and emotions in video media for digital advertising and marketing.

Researchers

Partners

EyeSee

Total budget

20 000,00 €

Local budget

20 000,00 €

Keywords

brand detection; emotion recognition; deep learning; CNN; advertising; digital marketing

Start Date

2016-09-01

End Date

2018-09-01

Journal Articles

Conference Articles