Springer Nature
Signal, Image and Video Processing
,  volume 18 ,  issue 12 ,  pages 9465-9481

Integrating YOLO and WordNet for automated image object summarization

Sheikh Muhammad Saqib 1
, 
Aamir Aftab 1
, 
Tehseen Mazhar 2
, 
Iqbal Muhammad 1
, 
Tariq Shahazad 3
, 
Ahmad Almogren 4
, 
Habib Hamam 5, 6, 7, 8
1
 
2
 
3
 
4
 
5
 
6
 
Faculty of Engineering, Uni de Moncton, Moncton, Canada | 
7
 
Hodmas University College, Mogadishu, Somalia | 
8
 
Bridges for Academic Excellence, Tunis, Tunisia | 
Publication type: Journal Article
Publication date: 2024-09-28
Springer Nature
scimago Q2
wos Q3
SJR: 0.523
CiteScore: 4.0
Impact factor: 2.1
ISSN: 18631703, 18631711
Abstract
The demand for methods that automatically create text summaries from images containing many things has recently grown. Our research introduces a fresh and creative way to achieve this. We bring together the WordNet dictionary and the YOLO model to make this happen. YOLO helps us find where the things are in the images, while WordNet provides their meanings. Our process then crafts a summary for each object found. This new technique can have a big impact on computer vision and natural language processing. It can make understanding complicated images, filled with lots of things, much simpler. To test our approach, we used 1381 pictures from the Google Image search engine. Our results showed high accuracy, with 72% for object detection. The precision was 85%, the recall was 72%, and the F1-score was 74%.
Found 
Found 

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GOST |
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GOST Copy
Saqib S. M. et al. Integrating YOLO and WordNet for automated image object summarization // Signal, Image and Video Processing. 2024. Vol. 18. No. 12. pp. 9465-9481.
GOST all authors (up to 50) Copy
Saqib S. M., Aftab A., Mazhar T., Muhammad I., Shahazad T., Almogren A., Hamam H. Integrating YOLO and WordNet for automated image object summarization // Signal, Image and Video Processing. 2024. Vol. 18. No. 12. pp. 9465-9481.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1007/s11760-024-03560-z
UR - https://link.springer.com/10.1007/s11760-024-03560-z
TI - Integrating YOLO and WordNet for automated image object summarization
T2 - Signal, Image and Video Processing
AU - Saqib, Sheikh Muhammad
AU - Aftab, Aamir
AU - Mazhar, Tehseen
AU - Muhammad, Iqbal
AU - Shahazad, Tariq
AU - Almogren, Ahmad
AU - Hamam, Habib
PY - 2024
DA - 2024/09/28
PB - Springer Nature
SP - 9465-9481
IS - 12
VL - 18
SN - 1863-1703
SN - 1863-1711
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Saqib,
author = {Sheikh Muhammad Saqib and Aamir Aftab and Tehseen Mazhar and Iqbal Muhammad and Tariq Shahazad and Ahmad Almogren and Habib Hamam},
title = {Integrating YOLO and WordNet for automated image object summarization},
journal = {Signal, Image and Video Processing},
year = {2024},
volume = {18},
publisher = {Springer Nature},
month = {sep},
url = {https://link.springer.com/10.1007/s11760-024-03560-z},
number = {12},
pages = {9465--9481},
doi = {10.1007/s11760-024-03560-z}
}
MLA
Cite this
MLA Copy
Saqib, Sheikh Muhammad, et al. “Integrating YOLO and WordNet for automated image object summarization.” Signal, Image and Video Processing, vol. 18, no. 12, Sep. 2024, pp. 9465-9481. https://link.springer.com/10.1007/s11760-024-03560-z.