แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Singhal, Amit. Content based image retrieval using feature fusion technique. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Content based image retrieval using feature fusion technique
Name: Gaynar, Krupali
Organization :
Netaji Subhas University of Technology . Dept. of ECE
Email :
krupalig.sp20@nsut.ac.in
Name: Bose, Sanket
Organization :
Netaji Subhas University of Technology . Dept. of ECE
Email :
sanketb.sp20@nsut.ac.in
Name: Singhal, Amit
Organization :
Netaji Subhas University of Technology . Dept. of ECE
Email :
ammit@nsut.ac.in
LCSH:
Image processing
LCSH:
Information retrieval
Abstract:
This paper contributes a feature fusion technique
for efficient content-based image retrieval. It aims to implement
an accurate feature extraction method through the proposed
system model. It can be a promising candidate for image retrieval
applications as it concatenates the features from deep learning
architecture and local binary patterns. Experimentation is done
on the benchmark Corel 1000 Database that has been divided into
10 classes of beaches, food, buses, flowers, dinosaurs, elephants,
horses, monuments, mountains and snow, and people and villages
in Africa. The proposed method achieves an average precision of
95.140o and an average recall of 9.5140o while retrieving 10
images corresponding to a given query image. These results
are superior to the existing methods based on deep learning
models and local patterns. Also, for variations in the number of
l'etrieved images, t'espective average precision, and average recall
are calculated.
Index Terms--Content based image retrieval, deep learning,
local binary pattern
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-14
Issued:
2024-05-14
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.97-100). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.035886 วินาที
Gaynar, Krupali
| Title | Contributor | Type |
|---|---|---|
| Content based image retrieval using feature fusion technique
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Gaynar, Krupali;Bose, Sanket;Singhal, Amit | บทความ/Article |
Bose, Sanket
| Title | Contributor | Type |
|---|---|---|
| Content based image retrieval using feature fusion technique
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Gaynar, Krupali;Bose, Sanket;Singhal, Amit | บทความ/Article |
Singhal, Amit
| Title | Contributor | Type |
|---|---|---|
| Content based image retrieval using feature fusion technique
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Gaynar, Krupali;Bose, Sanket;Singhal, Amit | บทความ/Article |