2020/09/05 by Borneel Bikash Phukan, Phukan, Borneel Bikash, Amiya Ranjan Panda +1
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #cs.CV #cs.LG
paper · pdf · doi:10.48550/arxiv.2009.02565
5 pages, 10 figures, Under review by an internationally recognized Scopus indexed journal 2020
arxiv created 2020/09/05 · openalex publication_date 2020/09/05 · arxiv updated 2020/09/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
With the huge expansion of internet and trillions of gigabytes of data generated every single day, the needs for the development of various tools has become mandatory in order to maintain system adaptability to rapid changes. One of these tools is known as Image Captioning. Every entity in internet must be properly identified and managed and therefore in the case of image data, automatic captioning for identification is required. Similarly, content generation for missing labels, image classification and artificial languages all requires the process of Image Captioning. This paper discusses an efficient and unique way to perform automatic image captioning on individual image and discusses strategies to improve its performances and functionalities.