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Sandra L. Gomez-Coronel, Ernesto Moya-Albor, Jorge Brieva and Andrés Romero-Arellano
Currently, algorithms to embed watermarks into digital images are increasing exponentially, for example in image copyright protection. However, when a watermarking algorithm is applied, the preservation of the image?s quality is of utmost importance, for...
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Carmine Paolino, Alessio Antolini, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Alex Marchioni, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi and Marco Pasotti
Analog In-Memory computing (AIMC) is a novel paradigm looking for solutions to prevent the unnecessary transfer of data by distributing computation within memory elements. One such operation is matrix-vector multiplication (MVM), a workhorse of many fiel...
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Chun-Chieh Lin, Pei-Chann Chang and Ping-Heng Tsai
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Fahmi Amhar, Endang Purnama Giri, Florence Elfriede Sinthauli Silalahi, Shelvie Nidya Neyman, Anggrahito, Dadan Ramdani, Danang Jaya, Dewayany Sutrisno, Sandi Adhitya Kolopaking, Tia Rizka Nuzula Rachma and Murdaningsih
This research aims to protect Digital Elevation Model (DEM) data from piracy or counterfeiting. An invisible watermark inserted into the data, which will not considerably change the data value, is necessary. The proposed method involves the use of the tw...
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El-Sayed M. El-Kenawy, Nima Khodadadi, Ashin Khoshnaw, Seyedali Mirjalili, Amel Ali Alhussan, Doaa Sami Khafaga, Abdelhameed Ibrahim and Abdelaziz A. Abdelhamid
Recently, piracy and copyright violations of digital content have become major concerns as computer science has advanced. In order to prevent unauthorized usage of content, digital watermarking is usually employed. This work proposes a new approach to di...
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Xinyue Fan, Teng Liu, Hong Bao, Weiguo Pan, Tianjiao Liang and Han Li
In the field of computer vision, training a well-performing model on a dataset with a long-tail distribution is a challenging task. To address this challenge, image resampling is usually introduced as a simple and effective solution. However, when perfor...
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Jaychand Upadhyay and Tad Gonsalves
In computer vision applications, gait-based gender classification is a challenging task as a person may walk at various angles with respect to the camera viewpoint. In some of the viewing angles, the person?s limb movement can be occluded from the camera...
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DaYou Jiang and Jongweon Kim
This paper presents a new content-based image retrieval (CBIR) method based on image feature fusion. The deep features are extracted from object-centric and place-centric deep networks. The discrete cosine transform (DCT) solves the strong correlation of...
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Ibrahim Furkan Ince
Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem. LSTMs are widely used for time ...
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Atallah AL-Shatnawi,Faisal Al-Saqqar,Safa?a Alhusban
Pág. pp. 20 - 34
In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In...
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