Machine Learning & AI

A hierarchical RNN-based model to predict scene graphs for images

Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...

Computer Sciences

Humans compress images better than algorithms, experiment finds

Your friend texts you a photo of the dog she's about to adopt but all you see is a tan, vaguely animal-shaped haze of pixels. To get you a bigger picture, she sends the link to the dog's adoption profile because she's worried ...

Machine Learning & AI

A new method for understanding ancient coin images

Two researchers at the University of St. Andrews, in Scotland, have recently developed a new machine learning-based method for understanding images of ancient coins. Their study, pre-published on arXiv applies computer vision ...

Telecom

Doctor performs first 5G surgery in step towards robotics 'dream'

Next-generation wireless technology is taking the medical world a crucial step closer to robots performing remotely-controlled surgery, a doctor in Spain said Wednesday after carrying out the world's first 5G-powered telementored ...

Engineering

Giving keener 'electric eyesight' to autonomous vehicles

Autonomous vehicles relying on light-based image sensors often struggle to see through blinding conditions, such as fog. But MIT researchers have developed a sub-terahertz-radiation receiving system that could help steer ...

Computer Sciences

An AI that 'de-biases' algorithms

We've learned in recent years that AI systems can be unfair, which is dangerous, as they're increasingly being used to do everything from predicting crime to determining what news we consume. Last year's study showing the ...

Computer Sciences

Computer vision in the dark using recurrent CNNs

Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.

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Image

An image (from Latin imago) is an artifact, or has to do with a two-dimensional (a picture), that has a similar appearance to some subject—usually a physical object or a person.

Images may be two-dimensional, such as a photograph, screen display, and as well as a three-dimensional, such as a statue. They may be captured by optical devices—such as cameras, mirrors, lenses, telescopes, microscopes, etc. and natural objects and phenomena, such as the human eye or water surfaces.

The word image is also used in the broader sense of any two-dimensional figure such as a map, a graph, a pie chart, or an abstract painting. In this wider sense, images can also be rendered manually, such as by drawing, painting, carving, rendered automatically by printing or computer graphics technology, or developed by a combination of methods, especially in a pseudo-photograph.

A volatile image is one that exists only for a short period of time. This may be a reflection of an object by a mirror, a projection of a camera obscura, or a scene displayed on a cathode ray tube. A fixed image, also called a hard copy, is one that has been recorded on a material object, such as paper or textile by photography or digital processes.

A mental image exists in an individual's mind: something one remembers or imagines. The subject of an image need not be real; it may be an abstract concept, such as a graph, function, or "imaginary" entity. For example, Sigmund Freud claimed to have dreamt purely in aural-images of dialogues. The development of synthetic acoustic technologies and the creation of sound art have led to a consideration of the possibilities of a sound-image made up of irreducible phonic substance beyond linguistic or musicological analysis.

This text uses material from Wikipedia, licensed under CC BY-SA