Enhanced Image Captioning with Color Recognition Using Deep Learning Methods

Automatically describing the content of an image is an interesting and challenging task in artificial intelligence. In this paper, an enhanced image captioning model—including object detection, color analysis, and image captioning—is proposed to automatically generate the textual descriptions of ima...

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Main Authors: Yeong-Hwa Chang, Yen-Jen Chen, Ren-Hung Huang, Yi-Ting Yu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/1/209
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author Yeong-Hwa Chang
Yen-Jen Chen
Ren-Hung Huang
Yi-Ting Yu
author_facet Yeong-Hwa Chang
Yen-Jen Chen
Ren-Hung Huang
Yi-Ting Yu
author_sort Yeong-Hwa Chang
collection DOAJ
description Automatically describing the content of an image is an interesting and challenging task in artificial intelligence. In this paper, an enhanced image captioning model—including object detection, color analysis, and image captioning—is proposed to automatically generate the textual descriptions of images. In an encoder–decoder model for image captioning, VGG16 is used as an encoder and an LSTM (long short-term memory) network with attention is used as a decoder. In addition, Mask R-CNN with OpenCV is used for object detection and color analysis. The integration of the image caption and color recognition is then performed to provide better descriptive details of images. Moreover, the generated textual sentence is converted into speech. The validation results illustrate that the proposed method can provide more accurate description of images.
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spelling doaj.art-cbfd48818a8041e5a0a3e7821232d4862023-11-23T11:09:25ZengMDPI AGApplied Sciences2076-34172021-12-0112120910.3390/app12010209Enhanced Image Captioning with Color Recognition Using Deep Learning MethodsYeong-Hwa Chang0Yen-Jen Chen1Ren-Hung Huang2Yi-Ting Yu3Department of Electrical Engineering, Chang Gung University, Taoyuan City 333, TaiwanDepartment of Electrical Engineering, Chang Gung University, Taoyuan City 333, TaiwanDepartment of Electrical Engineering, Chang Gung University, Taoyuan City 333, TaiwanDepartment of Electrical Engineering, Chang Gung University, Taoyuan City 333, TaiwanAutomatically describing the content of an image is an interesting and challenging task in artificial intelligence. In this paper, an enhanced image captioning model—including object detection, color analysis, and image captioning—is proposed to automatically generate the textual descriptions of images. In an encoder–decoder model for image captioning, VGG16 is used as an encoder and an LSTM (long short-term memory) network with attention is used as a decoder. In addition, Mask R-CNN with OpenCV is used for object detection and color analysis. The integration of the image caption and color recognition is then performed to provide better descriptive details of images. Moreover, the generated textual sentence is converted into speech. The validation results illustrate that the proposed method can provide more accurate description of images.https://www.mdpi.com/2076-3417/12/1/209image captioncolor recognitionLSTMobject detection
spellingShingle Yeong-Hwa Chang
Yen-Jen Chen
Ren-Hung Huang
Yi-Ting Yu
Enhanced Image Captioning with Color Recognition Using Deep Learning Methods
Applied Sciences
image caption
color recognition
LSTM
object detection
title Enhanced Image Captioning with Color Recognition Using Deep Learning Methods
title_full Enhanced Image Captioning with Color Recognition Using Deep Learning Methods
title_fullStr Enhanced Image Captioning with Color Recognition Using Deep Learning Methods
title_full_unstemmed Enhanced Image Captioning with Color Recognition Using Deep Learning Methods
title_short Enhanced Image Captioning with Color Recognition Using Deep Learning Methods
title_sort enhanced image captioning with color recognition using deep learning methods
topic image caption
color recognition
LSTM
object detection
url https://www.mdpi.com/2076-3417/12/1/209
work_keys_str_mv AT yeonghwachang enhancedimagecaptioningwithcolorrecognitionusingdeeplearningmethods
AT yenjenchen enhancedimagecaptioningwithcolorrecognitionusingdeeplearningmethods
AT renhunghuang enhancedimagecaptioningwithcolorrecognitionusingdeeplearningmethods
AT yitingyu enhancedimagecaptioningwithcolorrecognitionusingdeeplearningmethods