scholarly journals Neural Methods for Complex Images Logic Description and Recognition

2014 ◽  
Vol 4 (27) ◽  
pp. 144
Author(s):  
Adil V. Timofeev ◽  
Tatiana M. Kosovskaya
Keyword(s):  
Logic Description ◽  
Complex Images

scholarly journals Hiding Images as a Single Image Using Arithmetic Operations

2019 ◽  
Vol 8 (11) ◽  
pp. 208-211
Keyword(s):  
Color Images ◽  
Single Image ◽  
Arithmetic Operations ◽  
Image Information ◽  
Blending Process ◽  
Complex Images

This paper proposes a new mechanism for hiding images by blending two or more color images together. The resultant image formed from the blending process does not show the input images. The proposed mechanism makes it difficult to identify images taken for blending process. The work is attempted to mix two or more color images together for new hiding mechanism. The proposed mechanism first considered two color images and then following the processes such as resizing images, segmentation, rotation of pixel bits to make images more complex, and then hides the input images by combines these complex images by performing arithmetic operations on pixels. Math activities performed on pixels unmistakably combine the images to hide input images. The reverse procedure obviously concentrates input images with no bit loss or quality in the images. The work can be stretched out to blend more images to keep privacy in image information, diminishing spaces for dumping images.

scholarly journals A model of induced visual fading of complex images

2011 ◽  
Vol 11 (11) ◽  
pp. 358-358
Author(s):  
G. Francis ◽  
J. Kim
Keyword(s):  
Complex Images

scholarly journals Perceived Contrast of Complex Images

2012 ◽  
Vol 12 (14) ◽  
pp. 15-15
Author(s):  
A. M. Haun ◽  
E. Peli
Keyword(s):  
Complex Images

scholarly journals A Survey on Various Available Object Detection Models and Application In Automatic License Plate Detection

2021 ◽  
Vol 23 (06) ◽  
pp. 47-57
Author(s):  
Aditya Kulkarni ◽  
◽  
Manali Munot ◽  
Sai Salunkhe ◽  
Shubham Mhaske ◽  
...  
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Image Databases ◽  
License Plate ◽  
Learning Models ◽  
Python Language ◽  
Performance Accuracy ◽  
License Plate Detection ◽  
Bounding Boxes ◽  
Complex Images

With the development in technologies right from serial to parallel computing, GPU, AI, and deep learning models a series of tools to process complex images have been developed. The main focus of this research is to compare various algorithms(pre-trained models) and their contributions to process complex images in terms of performance, accuracy, time, and their limitations. The pre-trained models we are using are CNN, R-CNN, R-FCN, and YOLO. These models are python language-based and use libraries like TensorFlow, OpenCV, and free image databases (Microsoft COCO and PAS-CAL VOC 2007/2012). These not only aim at object detection but also on building bounding boxes around appropriate locations. Thus, by this review, we get a better vision of these models and their performance and a good idea of which models are ideal for various situations.

scholarly journals Iconografía y uso de la orina en la Historia del Arte / Iconography and Use of Urine in the History of Art

2018 ◽  
Vol 5 (2) ◽  
pp. 81-88
Author(s):  
José Antonio Colón Fraile
Keyword(s):  
Contemporary Art ◽  
The Body ◽  
Artistic Expression ◽  
History Of Art ◽  
History Of ◽  
And Gender ◽  
Complex Images

ABSTRACTWe studied how the urinating action and the use of the own urine have been used as an element of artistic expression in different art throughout history disciplines. This tour was organized by subject indexes, from the simplest to the most complex images semiotically. Contemporary art deserved special attention by incorporating the use of the body and its fluids as examples of human fears and obsessions, characterized the appearance of urine by its radicalism and gender affiliation.RESUMENSe estudia cómo se ha representado la acción de orinar y el uso de la propia orina como elemento de expresión artística en las distintas disciplinas a lo largo de la historia del arte. Se estructura este recorrido por índices temáticos, desde las imágenes más simples hasta las semióticamente más complejas, comenzando por la representación de niños que orinan, utilizados en todas las épocas como imagen de lo anecdótico y motivo decorativo para fuentes y jardines. Se continúa por otras imágenes que, aun siendo protagonizadas también por niños, poseen niveles de lectura culturalmente más elevados. Se divide este estudio en dos grandes épocas antagónicas: el mito de la Edad de Oro, estado natural y privilegiado para el ser humano, y el posterior mito de la caída en el que la sexualidad connota el acto de orinar ofreciéndonos nuevas lecturas desde el erotismo, la pornografía y su uso político-propagandístico. 

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