All Outputs (14)

A novel autoencoder for structural anomalies detection in river tunnel operation (2023)
Journal Article
TAN, X.-Y., Palaiahnakote, S., Chen, W., Cheng, K., & Du, B. (2024). A novel autoencoder for structural anomalies detection in river tunnel operation. Expert systems with applications, 244, https://doi.org/10.1016/j.eswa.2023.122906

Anomaly diagnosis is essential to prevent disasters and ensure long-term stable operation of tunnels. However, the diversity and scarcity of abnormal data make it difficult to identify outliers, especially to diagnose structural anomalies from poor-q... Read More about A novel autoencoder for structural anomalies detection in river tunnel operation.

A Locally Weighted Linear Regression Based Approach for Arbitrary Moving Shaky and Non-Shaky Video Classification (2023)
Journal Article
Halder, A., Shivakumara, P., Pal, U., Blumenstein, M., & Ghosal, P. (2023). A Locally Weighted Linear Regression Based Approach for Arbitrary Moving Shaky and Non-Shaky Video Classification. International Journal of Pattern Recognition and Artificial Intelligence, 38(1), https://doi.org/10.1142/S0218001423510199

Classification and identification of objects are complex and challenging in pattern recognition and artificial intelligence if a shaky and nonshaky camera captures the videos at different distances during the day and nighttime. This work presents a... Read More about A Locally Weighted Linear Regression Based Approach for Arbitrary Moving Shaky and Non-Shaky Video Classification.

A New Lightweight Script Independent Scene Text Style Transfer Network (2023)
Journal Article
Shivakumara, P., Roy, A., Nandanwar, L., Pal, U., Lu, Y., & Liu, C.-L. (2023). A New Lightweight Script Independent Scene Text Style Transfer Network. International Journal of Pattern Recognition and Artificial Intelligence, 37(13), https://doi.org/10.1142/S0218001423530038

Scene text style transfer without a language barrier is an open challenge for the video and scene text recognition community because this plays a vital role in poster, web design, augmenting character images, and editing characters to improve scene... Read More about A New Lightweight Script Independent Scene Text Style Transfer Network.

An Attention based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition (2023)
Journal Article

Digital water meter digit recognition from images of water meter readings is a challenging research problem. One key reason is that this might be a lack of publicly available datasets to develop such methods. Another reason is the digits suffer from... Read More about An Attention based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition.

A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation (2023)
Journal Article
Liu, K., Lyu, S., Shivakumara, P., Blumenstein, M., & Lu, Y. (2023). A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation. IEEE Signal Processing Letters, 30, https://doi.org/10.1109/LSP.2023.3326088

Detecting prohibited items via X-ray screening at airports and sensitive venues is essential for preventing smuggling and breaches of security. The difficulty in prohibited items inspection lies in accurately detecting prohibited items in complex X-r... Read More about A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation.

A Robust SLIC Based Approach for Segmentation using Canny Edge Detector (2023)
Journal Article

An accurate image segmentation in noisy environment is complex and challenging. Unlike existing state-of-the-art methods that use superpixels for successful segmentation, we propose a new approach for noise-robust SLIC (Simple Linear Iterative Cluste... Read More about A Robust SLIC Based Approach for Segmentation using Canny Edge Detector.

Editorial: Intelligent computing in farmland water conservancy for smart agriculture (2023)
Journal Article
(2023). Editorial: Intelligent computing in farmland water conservancy for smart agriculture. Frontiers in Plant Science, https://doi.org/10.3389/fpls.2023.1236010

In the past few decades, the rapid development of agriculture has put forward high requirements for efficient management of water resources, so as to rationally utilize natural resources and increase their sustainability. It is noted that there is a... Read More about Editorial: Intelligent computing in farmland water conservancy for smart agriculture.

A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images (2023)
Journal Article
Shivakumara, P., Banerjee, A., Pal, U., Nandanwar, L., Lu, T., & Liu, C.-L. (2023). A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 32, 3552 - 3566. https://doi.org/10.1109/TIP.2023.3287038

Due to the adverse effect of quality caused by different social media and arbitrary languages in natural scenes, detecting text from social media images and transferring its style is challenging. This paper presents a novel end-to-end model for text... Read More about A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images.

Classification of aesthetic natural scene images using statistical and semantic features (2023)
Journal Article
Biswas, K., Shivakumara, P., Pal, U., Lu, T., Blumenstein, M., & Lladós, J. (2023). Classification of aesthetic natural scene images using statistical and semantic features. Multimedia Tools and Applications, 82, 13507–13532. https://doi.org/10.1007/s11042-022-13924-7

Aesthetic image analysis is essential for improving the performance of multimedia image retrieval systems, especially from a repository of social media and multimedia content stored on mobile devices. This paper presents a novel method for classifyin... Read More about Classification of aesthetic natural scene images using statistical and semantic features.

Spatio-Temporal FFT Based Approach for Arbitrarily Moving Object Classification in Videos of Protected and Sensitive Scenes (2023)
Journal Article

Arbitrary moving object detection including vehicles and human beings in the real environment, such as protected and sensitive areas, is challenging due to the arbitrary deformation and directions caused by shaky camera and wind. This work aims at ad... Read More about Spatio-Temporal FFT Based Approach for Arbitrarily Moving Object Classification in Videos of Protected and Sensitive Scenes.

Spatiotemporal Edges for Arbitrarily Moving Video Classification in Protected and Sensitive Scenes (2023)
Journal Article

Classification of arbitrary moving objects including vehicles and human beings in a real environment (such as protected and sensitive areas) is challenging due to arbitrary deformation and directions caused by shaky camera and wind. This work aims at... Read More about Spatiotemporal Edges for Arbitrarily Moving Video Classification in Protected and Sensitive Scenes.

Spatiotemporal Edges for Arbitrarily Moving Video Classification in Protected and Sensitive Scenes (2023)
Journal Article

Classification of arbitrary moving objects including vehicles and human beings in a real environment (such as protected and sensitive areas) is challenging due to arbitrary deformation and directions caused by shaky camera and wind. This work aims at... Read More about Spatiotemporal Edges for Arbitrarily Moving Video Classification in Protected and Sensitive Scenes.

Tldsmi: Genetic Algorithm Based Network for Text Localization in Distorted Social Media Images (2023)
Working Paper
Palaiahnakote, S., Pavan Kumar, C., Aggarwal, P., Sharma, S., Chandana, P., Basavanna, M., & Pal, U. Tldsmi: Genetic Algorithm Based Network for Text Localization in Distorted Social Media Images

This paper presents a novel model for understanding social image content through text localization. For text localization, we explore Maximally Stable Extremal Regions (MSER) for detecting components, that works by clustering pixels having similar pr... Read More about Tldsmi: Genetic Algorithm Based Network for Text Localization in Distorted Social Media Images.

Inaugural Editorial (2023)
Journal Article

It gives me great pleasure to write an editorial note for the first edition of the new journal of Artificial Intelligence and Applications (AIA). Before I begin, I would like to thank our Managing Editor, Mrs. Yu Zhang of Bon View Publishing, Singapo... Read More about Inaugural Editorial.