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Paper Title
Comparison of Image Captioning Methods
  Jeel Sukhadiya,  Harsh Pandya,  Vedant Singh

Humans can give insight descriptions of the images or the scenes presented to them. Computer vision aims at incorporating this ability of humans to provide distinctive and captious description of the images and different scenes. Thus, image captioning is a task of generating a subjective description of all the objects, their relationship with the environment around them present in the images, to effectively describe the scene. Various approaches have been described in the paper to solve image captioning tasks. A detailed analysis of these approaches has been done along with a descriptive comparison to thoroughly gain an insight into the working and the methodologies used in various approaches. Possible alternative approaches are also introduced to achieve better performance in image captioning tasks.

Keywords- computer vision, image captioning, feature detection
Publication Details
Unique Identification Number - IJEDR1804011
Page Number(s) - 43-48
Pubished in - Volume 6 | Issue 4 | October 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Jeel Sukhadiya,  Harsh Pandya,  Vedant Singh,   "Comparison of Image Captioning Methods", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.43-48, October 2018, Available at :http://www.ijedr.org/papers/IJEDR1804011.pdf
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