Computer Vision in the Post-Production Industry

2002 ◽  
Author(s):  
A. Stoddart
Keyword(s):  
Computer Vision ◽  
Post Production ◽  
Production Industry

scholarly journals Performance Measurement of Animation Design Pre-Production Artist During COVID-19 Pandemic in India

2021 ◽  
Author(s):  
Arghya Kamal Roy ◽  
Abhishek Kumar ◽  
B. Muthu Kumaran ◽  
Sayyad Samee ◽  
Pranjal Singh ◽  
...  
Keyword(s):  
Performance Measurement ◽  
Production Cost ◽  
Research Paper ◽  
Online Questionnaire ◽  
Planning Stage ◽  
Animation Industry ◽  
Technical Base ◽  
Fast Step ◽  
Post Production ◽  
Production Industry

This research focuses on the development of the Indian animation industry. In Animation Pipeline pre-production is an important stage that determines the success of a film. Create and develop a story is the fast step and all other steps have to follow that storyline till final film realized. In this research paper present the survey base online questionnaire and the data has been collected of 300 artist who belong into Indian animation industry conducted in September 2020 by using google form. In general, Indian animation industry mostly run into production and post production (technical) base work so Indian animation industry has a smaller number of vacancies for pre-production (design and planning) artist and also having a very a smaller number of design and planning artist because of that they have highly demand. To evaluate and determine the factors that may affect the level of Indian animation pre-production industry. The study helpful to identify the animation industry current need and it focuses on planning stage to production of a movie. This research paper concludes 95% of artist working into the industry for production and post production if they are properly working into preproduction and then start into the movie work then there will be more vacancy for pre-production artist and end of the day production cost reduced up to 25 %.

Multi-Sensored Vision for Autonomous Production of Personalized Video Summary

2011 ◽  
pp. 102-120 ◽  
Author(s):  
Fan Chen ◽  
Damien Delannay ◽  
Christophe De Vleeschouwer ◽  
Pascaline Parisot
Keyword(s):  
Computer Vision ◽  
Low Cost ◽  
Major Research ◽  
Video Summary ◽  
Personalized Video ◽  
Production Industry

This chapter provides a survey of the major research efforts that have exploited computer vision tools to extend the content production industry towards automated infrastructures allowing contents to be produced, stored, and accessed at low cost and in a personalized and dedicated way.

scholarly journals What's Up Prof? Current Issues in the Visual Effects & Post-Production Industry

Leonardo ◽  
2010 ◽  
Vol 43 (1) ◽  
pp. 92-93 ◽  
Author(s):  
Neil Dodgson ◽  
John Patterson ◽  
Phil Willis
Keyword(s):  
Process Management ◽  
New Technologies ◽  
Visual Effects ◽  
Key Issues ◽  
Post Production ◽  
Production Industry

We interviewed creative professionals at a number of London visual effects and post-production houses. We report on the key issues raised in those interviews: desirable new technologies, infrastructure challenges, personnel and process management.

scholarly journals Detection of Component Assembly Error using Computer Vision: A Review

2020 ◽  
Vol 9 (10) ◽  
pp. 402-405
Keyword(s):  
Computer Vision ◽  
Object Recognition ◽  
Manufacturing Industry ◽  
Human Intervention ◽  
Process Automation ◽  
Vision Systems ◽  
Component Assembly ◽  
Assembly Error ◽  
Production Industry

Object recognition (OR) is a main capability needed by most AI vision systems. The most recent R&D on this domain has been gaining incredible ground in numerous ways. OR has a variety of uses. In this paper we talk about applications of OR system in manufacturing industry. In recent era scenario increased level of process automation in production industry also demands process automation of quality examination with lesser human intervention.

Human Vision and Computer Vision

1985 ◽  
Vol 30 (1) ◽  
pp. 47-47
Author(s):  
Herman Bouma
Keyword(s):  
Computer Vision ◽  
Human Vision

Computer vision for industrial applications

1983 ◽  
Vol 2 (5) ◽  
pp. 130
Author(s):  
J.A. Losty ◽  
P.R. Watkins
Keyword(s):  
Computer Vision ◽  
Industrial Applications

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

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