Litcius/Paper detail

Generating Image Captions using Deep Learning and Natural Language Processing

Subhash Chand Gupta, Nidhi Raj Singh, Tulsi Sharma, Akshita Tyagi, Rana Majumdar

202113 citationsDOI

Abstract

In today's world, there is rapid progress in the field of artificial intelligence and image captioning. It becomes a fascinating task that has saw widespread interest. The task of image captioning comprises image description engendered based on the hybrid combination of deep learning, natural language processing, and various approaches of machine learning and computer vision. In this work authors emphasize on how the model generates a short description as an output of the input image using the functionalities of Deep Learning and Natural Language Processing, for helping visually impaired people, and can also be cast-off in various web sites to automate the generation of captions reducing the task of recitation with great ease.

Topics & Concepts

Closed captioningComputer scienceTask (project management)Artificial intelligenceDeep learningNatural languageNatural (archaeology)Field (mathematics)Image processingNatural language processingImage (mathematics)MultimediaEngineeringPure mathematicsSystems engineeringArchaeologyMathematicsHistoryMultimodal Machine Learning ApplicationsHuman Pose and Action RecognitionDomain Adaptation and Few-Shot Learning