MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING
Abstract & Details
Research Area
COMPUTER SCIENCE AND ENGINEERING
Keywords
Machine learning
recognition
neural network
CNN
Image
Abstract
A major challenge in CBIR systems is the semantic gap that exists between the low level visual information captured by imaging devices and high level semantic information perceived by human. The efficacy of such systems is more crucial in terms of feature representations that can characterize the high-level information completely. In this paper, we propose an approach based on convolutional neural networks, a model inspired by biological models that learn from large volumes of data and on computationally intensive architectures.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ramafiarisona Malalatiana Hajasoa | Ecole Supérieure Polytechnique Antananarivo |
| 2 | Randriamitantsoa Paul Auguste | Ecole Supérieure Polytechnique Antananarivo |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Hajasoa, Ramafiarisona Malalatiana & Auguste, Randriamitantsoa Paul (2019). MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 5(1), 373-377.
MLA Style
Hajasoa, Ramafiarisona Malalatiana, and Randriamitantsoa Paul Auguste. "MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 1, 2019, pp. 373-377.
IEEE Style
Ramafiarisona Malalatiana Hajasoa and Randriamitantsoa Paul Auguste, "MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 1, pp. 373-377, 2019.
Vancouver Style
Hajasoa Ramafiarisona Malalatiana, Auguste Randriamitantsoa Paul. MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(1):373-377.
Harvard Style
Hajasoa, Ramafiarisona Malalatiana & Auguste, Randriamitantsoa Paul (2019) 'MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 5(1), pp. 373-377.
Chicago Style
Hajasoa, Ramafiarisona Malalatiana and Randriamitantsoa Paul Auguste. "MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 5, no. 1 (2019): 373-377.
Turabian Style
Hajasoa, Ramafiarisona Malalatiana and Randriamitantsoa Paul Auguste. "MODELISATION OF SEMANTIC IMAGE RETRIEVAL SYSTEM USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 5, no. 1 (2019): 373-377.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable