AIMC Topic: Motion Pictures

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An Animation Model Generation Method Based on Gaussian Mutation Genetic Algorithm to Optimize Neural Network.

Computational intelligence and neuroscience
With the rapid development of computer graphics, 3D animation has been applied to all fields of people's lives, especially in the industries of film and television works, games, and entertainment. The wide application of animation technology makes it...

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment.

Computational intelligence and neuroscience
Today, new media technology has widely penetrated art forms such as film and television, which has changed the way of visual expression in the new media environment. To better solve the problems of weak immersion, poor interaction, and low degree of ...

Stress Classification Using Brain Signals Based on LSTM Network.

Computational intelligence and neuroscience
The early diagnosis of stress symptoms is essential for preventing various mental disorder such as depression. Electroencephalography (EEG) signals are frequently employed in stress detection research and are both inexpensive and noninvasive modality...

Neuromorphic behaviour in discontinuous metal films.

Nanoscale horizons
Physical systems that exhibit brain-like behaviour are currently under intense investigation as platforms for neuromorphic computing. We show that discontinuous metal films, comprising irregular flat islands on a substrate and formed using simple eva...

Functional selectivity for social interaction perception in the human superior temporal sulcus during natural viewing.

NeuroImage
Recognizing others' social interactions is a crucial human ability. Using simple stimuli, previous studies have shown that social interactions are selectively processed in the superior temporal sulcus (STS), but prior work with movies has suggested t...

Automatic Film Label Acquisition Method Based on Improved Neural Networks Optimized by Mutation Ant Colony Algorithm.

Computational intelligence and neuroscience
Nowadays, with the constant change of public aesthetic standards, a large number of new types and themes of film programs have emerged. For this reason, this paper proposes an improved neural network optimized by mutation ant colony algorithm for aut...

Robot Death and Human Grief in Films: Qualitative Study.

Omega
Extant grief studies examine the way humans mourn the loss of a nonhuman, be it an animal, object, or abstract concept. Yet little is known about grief when it comes to robots. As humans are increasingly brought into contact with more human-like mach...

Multi-Modal Residual Perceptron Network for Audio-Video Emotion Recognition.

Sensors (Basel, Switzerland)
Emotion recognition is an important research field for human-computer interaction. Audio-video emotion recognition is now attacked with deep neural network modeling tools. In published papers, as a rule, the authors show only cases of the superiority...

Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies.

Circulation journal : official journal of the Japanese Circulation Society
BACKGROUND: Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.

Behavioral correlates of cortical semantic representations modeled by word vectors.

PLoS computational biology
The quantitative modeling of semantic representations in the brain plays a key role in understanding the neural basis of semantic processing. Previous studies have demonstrated that word vectors, which were originally developed for use in the field o...