News Updates Friday 22nd Feb 2019 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Jan/Feb 2019 is 23 Feb 2019, Submit online or at
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Bi-directional Long Short-Term Memory with Convolutional Neural Network Approach for Image Captioning

Author : Suramya Patel and Shilpa Gite

Pages : 1968-1972
Download PDF

Picture Captioning is a testing assignment that has required a lot of information as highlight extraction to accomplish elite. In this paper, we introduce a novel neural systems design that Convert Image into Sentences utilizing a half and half bidirectional LSTM with CNN Approach, taking out the requirement for most element Engineering. We picture the development of bidirectional LSTM inside states after some time and subjectively investigate how our models make an interpretation of picture to sentence. Our proposed models are assessed on subtitle era and picture sentence recovery errands from Available Dataset. Convolutional neural networks (CNN) have turned out to be mainstream in picture handling for include extraction. We show that bidirectional LSTM with CNN Approach accomplish profoundly Performance and Significantly beat late strategies on Image Captioning.

Keywords: Bi- Directional LSTM, CNN, Image Captioning, Computer Vision, Natural Language Processing, Context Awareness

Article published in International Journal of Current Engineering and Technology, Vol.7, No.6 (Nov/Dec 2017)

Call for Papers
  1. IJCET- Jan/Feb 2019 Issue

    Submission Last Date
    23 Feb
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-March-2019
  5. IJAIE-March-2019
  6. IJCSB-March-2019
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved