Dr Shahana Bano's Outputs (4)

Implementing spot the differences game using YOLO algorithm. (2022)
Presentation / Conference Contribution
KONDAPANENI, C.S., TEJA, M.V.S., KAVURI, R., TINNAVALLI, D. and BANO, S. 2022. Implementing spot the differences game using YOLO algorithm. In Kumar, A., Ghinea, G., Merugu, S. and Hashimoto, T. (eds.) Proceedings of the 2021 International conference on cognitive and intelligent computing (ICCIC 2021), 11-12 December 2021, Hyderabad, India. Volume 1. Singapore: Springer [online], pages 707-719. Available from: https://doi.org/10.1007/978-981-19-2350-0_67

The requirement for object detection has been expanding with computational force. Object identification is a technique that identifies the semantic class of the objects in the image or video. In this work, we talk about implementing an application th... Read More about Implementing spot the differences game using YOLO algorithm..

Vehicle spotting in nighttime using gamma correction. (2022)
Presentation / Conference Contribution
SHAHEED, S.H., SUDHEER, R., ROHIT, K., TINNAVALLI, D. and BANO, S. 2022. Vehicle spotting in nighttime using gamma correction. In Suma, V., Baig, Z., Shanmugam, S.K. and Lorenz, P. (eds.) Proceedings of the 6th International conference on inventive systems and control (ICISC 2022), 6-7 January 2022, Coimbatore, India. Lecture notes in networks and systems, 436. Singapore: Springer [online], 405-413. Available from: https://doi.org/10.1007/978-981-19-1012-8_27

Vehicle detection has become an important and challenging aspect of a safe transportation system in the nighttime as most accidents occur at night due to the absence of night lighting conditions. Many algorithms detect the vehicles at nighttime based... Read More about Vehicle spotting in nighttime using gamma correction..

Comprehending object detection by deep learning methods and algorithms. (2022)
Presentation / Conference Contribution
PRIYANKA, M., LAVANYA, K., SAI, K.C., ROHIT, K. and BANO, S. 2022. Comprehending object detection by deep learning methods and algorithms. In Shakya, S., Ntalianis, K. and Kamel, K.A. (eds.) Proceedings of the 3rd International conference on mobile computing and sustainable informatics (ICMCSI 2022), 27-28 January 2022, Kirtipur, Nepal. Lecture notes on data engineering and communications technologies, 126. Singapore: Springer [online], pages 523-537. Available from: https://doi.org/10.1007/978-981-19-2069-1_36

In the real world, computer vision is used for more challenging tasks like detecting of objects in an image or video. There are multiple applications of object detection in various domains like animation, autonomous driving, monitoring of traffic, co... Read More about Comprehending object detection by deep learning methods and algorithms..

Detection of image forgery for forensic analytics. (2022)
Presentation / Conference Contribution
SRI, C.G., BANO, S., TRINADH, V.B., VALLURI, V.V. and THUMATI, H. 2022. Detection of image forgery for forensic analytics. In Aurelia, S., Hiremath, S.S., Subramanian, K. and Biswas, S.K. (eds.) Select proceedings of the 2021 International conference on sustainable advanced computing (ICSAC 2021), 5-6 March 2021, Bangalore, India. Lecture notes in electrical engineering, 840. Singapore: Springer [online], pages 321-338. Available from: https://doi.org/10.1007/978-981-16-9012-9_26

Due to the technical revolution in digital image processing, different advanced image manipulation software has been used in recent years to produce new unrealistic images without leaving evidence of what is happening in the world, so it would be dif... Read More about Detection of image forgery for forensic analytics..