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IHS VIDEO STANDARDS - VIDEO STANDARDS COLLECTION
IHS
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The Goddard Guide to Arthropods of Medical Importance
March 19, 2019 - CRC

Key features: Includes an in-depth chapter with diagnostic aids to help physicians to recognize and accurately diagnose arthropod-related diseases and conditions more easily Updates all chapters with the latest medical and scientific findings, including Zika virus, red meat allergy, new viruses...

Computer Vision Projects with OpenCV and Python 3
December 28, 2018 - PACKT

"Gain a working knowledge of advanced machine learning and explore PythonÕs powerful tools for extracting data from images and videos Key Features *Implement image classification and object detection using machine learning and deep learning *Perform image classification, object detection,...

CSA ISO/IEC 23001-7 - Information technology - MPEG systems technologies - Part 7: Common encryption in ISO base media file format files
January 1, 2018 - CSA

This part of ISO/IEC 23001 specifies common encryption formats for use in any file format based on ISO/IEC 14496-12. File, track, and track fragment metadata is specified to enable multiple digital rights and key management systems (DRMs) to access the same common encrypted file or stream. This...

ITU-T H.763.2 - Scalable vector graphics for IPTV services
March 1, 2017 - ITU-T

This Recommendation describes the functionalities of the scalable vector graphics (SVG) for IPTV services. SVG, as one of those standard multimedia application frameworks described in [ITU-T H.760], provides interoperable use of IPTV services. IPTV terminal devices supporting SVG can provide...

Introduction to Machine Learning with Applications in Information Security
September 7, 2017 - CRC

Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn't prove theorems, or otherwise dwell on mathematical theory....

Mastering OpenCV 3
April 28, 2017 - PACKT

Practical Computer Vision Projects About This Book • Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3 • Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware...

OpenCV: Computer Vision Projects with Python
October 24, 2016 - PACKT

Get savvy with OpenCV and actualize cool computer vision applications About This Book • Use OpenCV's Python bindings to capture video, manipulate images, and track objects • Learn about the different functions of OpenCV and their actual implementations. • Develop a series of intermediate to...

ITU-T J.343.4 - Hybrid-RR objective perceptual video quality measurement for HDTV and multimedia IP-based video services in the presence of a reduced reference signal and non-encrypted bitstream data
November 1, 2014 - ITU-T

This Recommendation1 describes algorithmic models for measuring the visual quality of IP-based video services. The models are hybrid-reduced reference (Hybrid-RR) models, which use features extracted from the unimpaired reference video signal, the non-encrypted bitstream data and the...

ITU-T J.343.3 - Hybrid-RRe objective perceptual video quality measurement for HDTV and multimedia IP-based video services in the presence of a reduced reference signal and encrypted bitstream data
November 1, 2014 - ITU-T

This Recommendation1 describes algorithmic models for measuring the visual quality of IP-based video services. The models are hybrid reduced-reference encrypted (Hybrid-RRe) models, which use features extracted from the unimpaired reference video signal, packet header information, and...

ITU-T J.343.5 - Hybrid-FRe objective perceptual video quality measurement for HDTV and multimedia IP-based video services in the presence of a full reference signal and encrypted bitstream data
November 1, 2014 - ITU-T

This Recommendation1 describes algorithmic models for measuring the visual quality of IP-based video services. The models are hybrid full-reference encrypted (Hybrid-FRe) models, which use the unimpaired reference video signal, packet header information, and video image data...

ITU-T J.343.6 - Hybrid-FR objective perceptual video quality measurement for HDTV and multimedia IP-based video services in the presence of a full reference signal and non-encrypted bitstream data
November 1, 2014 - ITU-T

This Recommendation1 describes algorithmic models for measuring the visual quality of IP-based video services. The models are hybrid full reference (Hybrid-FR) models, which use the unimpaired reference video signal, non-encrypted bitstream data and video image data captured at...

ITU-T J.343.1 - Hybrid-NRe objective perceptual video quality measurement for HDTV and multimedia IP-based video services in the presence of encrypted bitstream data
November 1, 2014 - ITU-T

This Recommendation1 describes algorithmic models for measuring the visual quality of IP-based video services. The models are hybrid no-reference encrypted (Hybrid-NRe) models, which operate by analysing packet header information and video image data captured at the video...

ITU-T J.343.2 - Hybrid-NR objective perceptual video quality measurement for HDTV and multimedia IP-based video services in the presence of non-encrypted bitstream data
November 1, 2014 - ITU-T

This Recommendation1 describes algorithmic models for measuring the visual quality of IP-based video services. The models are hybrid no-reference (Hybrid-NR) models, which use non-encrypted bitstream data and video image data captured at the video player. As output the models...

OpenCV with Python Blueprints
October 19, 2015 - PACKT

Design and develop advanced computer vision projects using OpenCV with Python About This Book Program advanced computer vision applications in Python using different features of the OpenCV library Practical end-to-end project covering an important computer vision problem All projects in the book...

MPIF P/M VIDEO - Designing for P/M Video
January 1, 1996 - MPIF
A description is not available for this item.
NFPA NEC EXPERT VIDEO - NEC EXPERT VIDEO SERIES
NFPA
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ITU-T J.340 - Reference algorithm for computing peak signal to noise ratio of a processed video sequence with compensation for constant spatial shifts, constant temporal shift, and constant luminance gain and offset
June 1, 2010 - ITU-T

Peak Signal to Noise Ratio (PSNR) is a useful benchmark for evaluating performance improvements of new objective perceptual video quality metrics. For example, PSNR has been used as a benchmark for both the Multimedia (MM) and Reduced Reference Television (RRTV) test programs recently...

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