Different kinds of images induce different kinds of stimuli in humans. Certain types of images tend to activate specific parts of our brain. Professional photographers use methods and techniques like rule of thirds, exposure, etc, to click an appealing photograph. Image aesthetic is a partially subjective topic as there are some aspects of the image that are more appealing to the person’s eye than the others, and the paper presents a novel technique to generate a typical score of the quality of an image by using the image captioning technique. The model for Image Captioning model has been trained using Convolutional Neural Network, Long Short Term Memory, Recurrent Neural Networks and Attention Layer. After the Image caption generation we made, a textual analysis is done using RNN- LSTM, embedding layer, LSTM layer, and sigmoid function and then the score of the image is predicted for its aesthetic quality.
Keywords: Image Aesthetic; Convolutional Neural Network; Long Short Term Memory; Recurrent Neural Networks; Attention Layer; Embedding Layer; Image Captioning
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