• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 69,495
Next 10 →

Video Quality Measurement Standards – Current Status and Trends

by Stefan Winkler
"... Abstract—With the wide-spread use of digital video, quality considerations have become essential, and industry demand for video quality measurement standards is rising. Various organizations are working on such standards. This paper reviews some of the existing standards documents, on-going work and ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
Abstract—With the wide-spread use of digital video, quality considerations have become essential, and industry demand for video quality measurement standards is rising. Various organizations are working on such standards. This paper reviews some of the existing standards documents, on-going work

The Evolution of Video Quality Measurement: From PSNR to Hybrid Metrics

by Stefan WInkler, et al. , 200
"... This paper reviews the evolution of video quality measurement techniques and their current state of the art. We start with subjective experiments and then discuss the various types of objective metrics and their uses. We also introduce V-Factor, a “hybrid” metric using both transport- and bitstream ..."
Abstract - Cited by 54 (6 self) - Add to MetaCart
This paper reviews the evolution of video quality measurement techniques and their current state of the art. We start with subjective experiments and then discuss the various types of objective metrics and their uses. We also introduce V-Factor, a “hybrid” metric using both transport- and bitstream

Objective Video Quality Measurement Using Various Degradation Factors

by Wonseok Ahn, Chulhee Lee
"... Abstract:- In this paper, we propose a new video quality measurement method which is based on several degradation factors. The proposed method assumes that reference videos are available. In the proposed algorithm, the VQM (Video Quality Metric) is calculated as a weighted sum of seven features whic ..."
Abstract - Add to MetaCart
Abstract:- In this paper, we propose a new video quality measurement method which is based on several degradation factors. The proposed method assumes that reference videos are available. In the proposed algorithm, the VQM (Video Quality Metric) is calculated as a weighted sum of seven features

Filename: JVT-J024.doc Title: Method for Objective Video Quality Measurements Status: Input Document to JVT

by Author(s Or Eeping Ong, Xiaokang Yang, Contact(s) Lin, Zhongkang Lu, Susu Yao
"... This proposal encompasses an objective video quality measurement method to automatically measure the perceived quality of a stream of video images. The method is based on a combined measure of distortioninvisibility, block-fidelity, and content richness fidelity. There is a need for automatic and ob ..."
Abstract - Add to MetaCart
This proposal encompasses an objective video quality measurement method to automatically measure the perceived quality of a stream of video images. The method is based on a combined measure of distortioninvisibility, block-fidelity, and content richness fidelity. There is a need for automatic

A FINE-STRUCTURE IMAGE/VIDEO QUALITY MEASURE USING LOCAL STATISTICS

by Kyungnam Kim, Larry Davis
"... An objective no-reference measure is presented to assess fine-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, especially for background modeling and foreground object detection. The proposed measure using local statistics reflects im ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
An objective no-reference measure is presented to assess fine-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, especially for background modeling and foreground object detection. The proposed measure using local statistics reflects

The Development Of Objective Video Quality Measures That Emulate Human Perception

by Stephen Voran Department, Stephen Voran - In GLOBECOM
"... The primary motivation for characterizing the electrical The Institute for Telecommunication Sciences (ITS) is maintain picture quality by controlling measurable electrical conducting research to derive objective measures of video quality that emulate human perception. These measures should agree cl ..."
Abstract - Add to MetaCart
The primary motivation for characterizing the electrical The Institute for Telecommunication Sciences (ITS) is maintain picture quality by controlling measurable electrical conducting research to derive objective measures of video quality that emulate human perception. These measures should agree

Overview of the scalable video coding extension of the H.264/AVC standard

by Heiko Schwarz, Detlev Marpe, Thomas Wiegand - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY IN CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY , 2007
"... With the introduction of the H.264/AVC video coding standard, significant improvements have recently been demonstrated in video compression capability. The Joint Video Team of the ITU-T VCEG and the ISO/IEC MPEG has now also standardized a Scalable Video Coding (SVC) extension of the H.264/AVC stand ..."
Abstract - Cited by 522 (6 self) - Add to MetaCart
standard. SVC enables the transmission and decoding of partial bit streams to provide video services with lower temporal or spatial resolutions or reduced fidelity while retaining a reconstruction quality that is high relative to the rate of the partial bit streams. Hence, SVC provides functionalities

Actions as space-time shapes

by Lena Gorelick, Moshe Blank, Eli Shechtman, Michal Irani, Ronen Basri - IN ICCV , 2005
"... Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes induced by the silhouettes in the space-time volume. We adopt a recent approach [14] for analyzing 2D shapes and genera ..."
Abstract - Cited by 651 (4 self) - Add to MetaCart
and viewpoint, high irregularities in the performance of an action, and low quality video.

Institutions Rule: The Primacy of Institutions over Geography and Integration in Economic Development

by Dani Rodrik, Arvind Subramanian, Francesco Trebbi - FREE UNIVERSITY OF BERLIN , 2004
"... We estimate the respective contributions of institutions, geography, and trade in determining income levels around the world, using recently developed instrumental variables for institutions and trade. Our results indicate that the quality of institutions “trumps” everything else. Once institutions ..."
Abstract - Cited by 817 (28 self) - Add to MetaCart
are controlled for, conventional measures of geography have at best weak direct effects on incomes, although they have a strong indirect effect by influencing the quality of institutions. Similarly, once institutions are controlled for, trade is almost always insignificant, and often enters the income equation

Recognizing action at a distance

by Alexei A. Efros, Alexander C. Berg, Greg Mori, Jitendra Malik - PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION , 2003
"... Our goal is to recognize human actions at a distance, at resolutions where a whole person may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow measurements in a spatio-temporal volume for each stabilized human figure, and an associated similarity measure to be us ..."
Abstract - Cited by 504 (20 self) - Add to MetaCart
Our goal is to recognize human actions at a distance, at resolutions where a whole person may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow measurements in a spatio-temporal volume for each stabilized human figure, and an associated similarity measure
Next 10 →
Results 1 - 10 of 69,495
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University