Deep Learning Perspectives on Efficient Image Matching in Natural Image Databases
Main Article Content
Abstract
With the proliferation of digital content, efficient image matching in natural image databases has become paramount. Traditional image matching techniques, while effective to a certain extent, face challenges in dealing with the high variability inherent in natural images. This research delves into the application of deep learning models, particularly Convolutional Neural Networks (CNNs), Siamese Networks, and Triplet Networks, to address these challenges. We introduce various techniques to enhance efficiency, such as data augmentation, transfer learning, dimensionality reduction, efficient sampling, and the amalgamation of traditional computer vision strategies with deep learning. Our experimental results, garnered from specific dataset, demonstrate significant improvements in image matching efficiency, as quantified by metrics like precision, recall, F1-Score, and matching time. The findings underscore the potential of deep learning as a transformative tool for natural image database matching, setting the stage for further research and optimization in this domain.
Article Details
References
B. Kameswara Rao, Abhay Chaturvedi, Naziya Hussain, (2022) Industrial quality healthcare services using Internet of Things and fog computing approach, Measurement: Sensors, Volume 24, 100517.
M. Swathi Pai, M. Shruthi and B. Naveen K, (2020) "Internet of Things: A Survey on Devices, Ecosystem, Components and Communication Protocols," 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 611-616.
K. B. Naveen, M. Ramesha, and G. N. Pai,(2020) “Internet of things: Internet revolution, impact, technology road map and features,” Adv. Math. Sci. J., vol. 9, no. 7, pp. 4405–4414.
R. Kishore Kumar, M. Pandidurai and M. S. C. Senthil Kamalesh, (2023) "Design of IoT based Rural Health Helper using Natural Language Processing," 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, pp. 328-333.
B. Ram Vishal, M. U. Shankar and K. A. M, (2023) "Cardiovascular Disease Prediction Using LSTM Algorithm based On Cytokines," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, pp. 1-5.
D. Palanikkumar, P. A. Mary, A. Y. Begum, (2023) "A Novel IoT Framework and Device Architecture for Efficient Smart city Implementation," 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, pp. 420-426.
Nareshkumar and B. Gururaj, (2022) "An Integrated IoT Technology for Health and Traffic Monitoring System with Smart Ambulance," 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon), Vijaypur, India, pp. 1-6.
R. Kavitha, A. Kumar, V. Kalpana and V. Hariram,(2023) "Artificial Intelligence based Health Monitoring System on IoTH platform," 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, pp. 1458-1463.
S. Archana Shreee, B. Maheshwari, G. Jeevitha Sai, (2023) "A Novel Method of Identification of Delirium in Patients from Electronic Health Records Using Machine Learning," 2023 World Conference on Communication & Computing (WCONF), RAIPUR, India, 2023, pp. 1-6.
S. Venkatakiran, B. Ashreetha and N. S. Reddy, (2023) "Implementation of a Machine Learning-based Model for Cardiovascular Disease Post Exposure prophylaxis," 2023 International Conference for Advancement in Technology (ICONAT), Goa, India, pp. 1-5.
Sadashiva V. Chakrasali, Chanakya Kumar, Abhay Chaturvedi, A. Azhagu Jaisudhan Pazhani, (2023) Computer vision based healthcare system for identification of diabetes & its types using AI, Measurement: Sensors, Volume 27, 10075.
Hombalimath, D. Palanikkumar, and N. Patwari, (2023) “Symmetrized Feature Selection with Stacked Generalization based Machine Learning Algorithm for the Early Diagnosis of Chronic Diseases,” 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, pp. 838-844.
Namitha A R, Manu Y M, Rashmi G R and Veera Sivakumar Chinamuttevi (2022), IOT Based Smart Health Care System to Monitor Covid-19 Patients. IJEER, 10(1), pp.36-40.
P. Ramesh Naidu and N. Guruprasad (2021), A High-Availability and Integrity Layer for Cloud Storage, Cloud Computing Security: From Single to Multi-Clouds, Journal of Physics: Conference Series, 1921 (1), pp. 012072.
G. A, A. B. Naik and N. HG, (2021) "Covid-19 Prevention Kit Based on an Infrared Touchless Thermometer and Distance Detector," 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 358-362.
K. Jeevan and B. M. Sathisha, (2020) "Implementation of IoT Based Wireless Electronic Stethoscope," 2020 Third International Conference on Multimedia Processing, Communication & Information Technology (MPCIT), pp. 103-106.
U. K N and R. V M, (2022) “Arduino based COVID-19 Suspect Detection Device,” 2022 6th International Conference on Electronics, Communication and Aerospace Technology, Coimbatore, India, pp. 158-163.
M. R. G. and H. Anandaram, (2022) “Extraction of Fetal ECG Using ANFIS and the Undecimated-Wavelet Transform,” 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), pp. 1-5.
Revanna C R, B. Kameswara Rao and Parismita Sarma (2022), Enhanced Diagnostic Methods for Identifying Anomalies in Imaging of Skin Lesions. IJEER 10(4), pp.1077-1085.
S. Reddy P, P. S. Patwal, (2022) “Data Analytics and Cloud-Based Platform for Internet of Things Applications in Smart Cities,” 2022 International Conference on Industry 4.0 Technology (I4Tech), pp. 1-6.
S. R. Kawale, S. P. Diwan, (2022) “Intelligent Breast Abnormality Framework for Detection and Evaluation of Breast Abnormal Parameters,” 2022 International Conference on Edge Computing and Applications (ICECAA), pp. 1503-1508.
P. Ramesh Naidu, N. Guruprasad, (2020) “Design and implementation of cryptcloud system for securing files in cloud,” Adv. Math. Sci. J., vol. 9, no. 7, pp. 4485–4493.
K. Prasad, S. Dekka, R. c. Tanguturi and G. Poornima, (2022) "An Intelligent System for Remote Monitoring of Patients Health and the Early Detection of Coronary Artery Disease," 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, pp. 1-6.
H. Anandaram, N. B. A, N. Gupta and B. K. Verma, (2023) "IoT Wearable Breast Temperature Assessment System," 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, pp. 1236-1241.
K. Prasad, N. Anil Kumar, N. S. Reddy and B. Ashreetha, (2023) "Technologies for Comprehensive Information Security in the IoT," 2023 International Conference for Advancement in Technology (ICONAT), Goa, India, pp. 1-5.
M. Kranthi, and R. C. Tanguturi,(2023) "Design of Intelligent Medical Integrity Authentication and Secure Information for Public Cloud in Hospital Administration," 2023 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India, pp. 256-261.
R. C. Tanguturi, L. S. V. S. L, S. R. C. K and V. C. H, (2023) "Implementation of Machine Learning Approach for Detecting Cardiovascular Diseases," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, pp. 1-6.
R. V. Mailapur and M. K, (2023) "Implementation of GUI based Vital Track Ambulance for Patient Health Monitoring," 2023 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, pp. 1417-1424.