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ELCVIA

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ELCVIA 9 records found  Search took 0.01 seconds. 
1.
15 p, 858.1 KB Saliency-Based Image Retrieval as a Refinement to Content-Based Image Retrieval / Al-Azawi, Mohammad A. N. (Oman College of Management and Technology)
Searching for an image in a database is important in different applications; hence, many algorithms have been proposed to identify the contents of the image. In some applications, but not all, identifying the content of the image as a whole can offer good results. [...]
2021 - 10.5565/rev/elcvia.1325
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 1-15 (Regular Issue)  
Detailed record - Creative Commons
2.
13 p, 2.0 MB A comparison of an RGB-D camera's performance and a stereocamera in relation to object recognition and spatial position determination / Rodriguez, Julian Severiano (Universidad de San Buenaventura (Bogotá, Colombia))
Results of using an RGB-D camera (Kinect sensor) and a stereo camera, separately, in order to determine the 3D real position of characteristic points of a predetermined object in a scene are presented. [...]
2021 - 10.5565/rev/elcvia.1238
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 16-27 (Regular Issue)  
Detailed record - Creative Commons
3.
13 p, 315.6 KB Investigation of Solar Flare Classification to Identify Optimal Performance / Kakde, Aditya (University of Petroleum and Energy Studies) ; Sharma, Durgansh (University of Petroleum and Energy Studies) ; Kaushik, Bhavana (University of Petroleum and Energy Studies) ; Arora, Nitin (Indian Institute of Technology Roorkee)
When an intense brightness for a small amount of time is seen in the sun, then we can say that a solar flare emerged. As solar flares are made up of high energy photons and particles, thus causing the production of high electric fields and currents and therefore results in the disruption in space-borne or ground-based technological system. [...]
2021 - 10.5565/rev/elcvia.1274
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 28-41 (Regular Issue)  
Detailed record - Creative Commons
4.
13 p, 3.2 MB Adaptive Window Selection for Non-uniform Lighting Image Thresholding / Pattnaik, Tapaswini (C. V. Raman Global Universityv (Bhubaneswar, Índia). Department of Electronics and Telecommunication Engg) ; Kanungo, Priyadarshi (C. V. Raman Global Universityv (Bhubaneswar, Índia). Department of Electronics and Telecommunication Engg)
Selection of appropriate size of windows or subimages is the most important step for thresholding images with non-uniform lighting. In this paper, a novel criteria function is developed to partition images into different size of sub images appropriate for thresholding. [...]
2021 - 10.5565/rev/elcvia.1301
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 42-54 (Regular Issue)  
Detailed record - Creative Commons
5.
15 p, 1.4 MB Recognition of Devanagari Scene Text Using Autoencoder CNN / Shiravale, Sankirti S. (Marathwada Mitra Mandal's College of Engineering (Índia). Department of Computer Engineering) ; Jayadevan, R. (Army Institute of Technology (Pune, Índia). Department of Computer Engineering) ; Sannakki, Sanjeev S. (Gogte Institute of Technology (Belagavi, Índia). Department of Computer Science and Engineering)
Scene text recognition is a well-rooted research domain covering a diverse application area. Recognition of scene text is challenging due to the complex nature of scene images. Various structural characteristics of the script also influence the recognition process. [...]
2021 - 10.5565/rev/elcvia.1344
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 55-69 (Regular Issue)  
Detailed record - Creative Commons
6.
14 p, 1.1 MB Edge detection algorithm for omnidirectional images, based on superposition laws on Blach's sphere and quantum entropy / Ezzaki, Ayoub (Mohammed V University in Rabat. Physics Department) ; Benkhedra, Dirar (Mohammed V University in Rabat. Mathematic Department) ; El Ansari, Mohamed (My Ismail University in Meknes (Marroc). Computer Science Department) ; Masmoudi, Lhoussaine (Mohammed V University in Rabat. Physics Department)
This paper presents an edge detection algorithm for omnidirectional images based on superposition law onBloch's sphere and quantum local entropy. Omnidirectional vision system has become an essential tool incomputer vision, duo to its large field of view. [...]
2021 - 10.5565/rev/elcvia.1338
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 70-83 (Regular Issue)  
Detailed record - Creative Commons
7.
15 p, 1.2 MB Identification of Suitable Contrast Enhancement Technique for Improving the Quality of Astrocytoma Histopathological Images / Dzulkifli, Fahmi Akmal (University Malaysia Perlis. School of Mechatronic Engineering)
Contrast enhancement plays an important part in image processing. In histology, the application of a contrast enhancement technique is necessary since it can help pathologists in diagnosing the sample slides by increasing the visibility of the morphological and features of cells in an image. [...]
2021 - 10.5565/rev/elcvia.1256
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 84-98 (Regular Issue)  
Detailed record - Creative Commons
8.
11 p, 3.5 MB Deep Learning Based Automated Sports Video Summarizationusing YOLO / Guntuboina, Chakradhar (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department) ; Porwal, Aditya ; Jain, Preet (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department) ; Shingrakhia, Hansa (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department)
This paper proposes a computationally inexpensive method for automatic key-event extraction and sub-sequent summarization of sports videos using scoreboard detection. A database consisting of 1300 imageswas used to train (using transfer learning) a supervised-learning based object detection algorithm, YOLO(You Only Look Once). [...]
2021 - 10.5565/rev/elcvia.1286
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 99-116 (Regular Issue)  
Detailed record - Creative Commons
9.
20 p, 756.0 KB Social Video Advertisement Replacement and its Evaluation in Convolutional Neural Networks / Yang, Cheng (Auckland University of Technology (Nova Zelanda). Department of Electrical and Electronic Engineering) ; Yu, Xiang (Auckland University of Technology (Nova Zelanda)) ; Kumar, Arun (National Institute of Technology (Odisha, Índia). Department of Computer Science & Engineering) ; Ali, G. G. Md. Nawaz (University of Charleston (Estats Units d'Amèrica). Department of Applied Computer Science) ; Chong, Peter Han Joo (Auckland University of Technology (Nova Zelanda). Department of Electrical and Electronic Engineering) ; Lam, Patrick (Auckland University of Technology (Nova Zelanda))
This paper introduces a method to use deep convolutional neural networks (CNNs) to automatically replace advertisement (AD) photo on social (or self-media) videos and provides the suitable evaluation method to compare different CNNs. [...]
2021 - 10.5565/rev/elcvia.1347
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 117-136 (Regular Issue)  
Detailed record - Creative Commons

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