Environment Descriptor for the Visually Impaired
|Title||Environment Descriptor for the Visually Impaired|
|Publication Type||Conference Proceedings|
|Year of Conference||2018|
|Authors||Ankush, A. Mishra, C. Madhurima, M. R. Gautham Sai, D.. Annapurna, and J. Jishin|
|Conference Name||International Conference on Advances in Computing, Communications and Informatics (ICACCI 2018)|
|Keywords||Department of Computer Science and Engineering|
The ability to provide a system for automatically describing images to the users, especially the blind is a matter which can improve their lives significantly, if made possible to a user a friendly way. We present, a way of achieving the task of producing natural language descriptions of images through the use of recent deep architectures in neural networks, specifically based on recurrent and convolution architectures. A generative model for this is created and the accuracy for the MSCOCO Captioning dataset is presented along with a software architecture of how this can be extended as a standalone application for the blind.