Practitioner- a research on image captioning
Master of Science in Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
Date of Award
Dr. Muhammad Sarim
Committee Member 1
Dr. Muhammad Sarim..-Supervisor, Faculty of Computer Science, Institute of Business Administration (IBA), Karachi.
MSCS Survey Report
Natural language processing (Computer science), Programming languages (Electronic computers)
Abstract / Summary
In recent years, researchers have been working to explore the association between words and pictures for a number of tasks that includes facial recognition in newspaper photos with labelled captions, finding relationships between tags and image components and to identify attributes after object recognition in images. Generating descriptions for pictures using English sentences or natural language is quite a challenging task for Computer Vision practitioners. It demands expertise in both the fields of Image Processing and Natural Language Processing. This research basically focuses on different models that have been used for Image processing and creating captions using natural English language sentences. We have reviewed the models developed in recent years that has advanced the object recognition and classification process resulting in improved accuracy for the task of Image Captioning.
Naqvi, M. F. (2019). Practitioner- a research on image captioning (Unpublished survey report). Retrieved from https://ir.iba.edu.pk/research-projects/32
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