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Current Status of Video Objective Measurements

This paper explores the challenges associatedalgorithms perform a detailed comparison of
with assessing video quality. Assessing videothe input and output video sequence. This is
quality ultimately depends on the customer'sa computationally intensive process, which
reaction on their new TV. Many factors affectinvolves per-pixel processing, and temporal,
the video before it gets to the TV:spatial alignment of the input and output
compression, image processing, scaling,streams. Full reference algorithms can
decoding, transmission, etc. To isolate theirachieve good levels of correlation with
video algorithm, companies performsubjective test data. Having the reference
verification using: subjective and objectivevideo sequence available is only possible for
video assessment techniques. While it wouldcertain applications: for example in lab
be far cheaper, to perform only objectivetesting, pre-deployment test or
test, nothing beats the human eye. Thus,troubleshooting.
Objective video quality measurements and
Subjective video quality assessment areOne of the earliest full reference algorithms
complementary rather than interchangeable.is PSNR (Peak Signal to Noise Ratio), which
Subjective assessment is appropriate foris literally a measurement of the mean error
research related purposes; objectivebetween input and output as a ratio of the
measurements are required for equipmentpeak signal level, expressed in dB. A typical
specifications and day-to-day system"good" PSNR is around 30dB and it is
performance  measurement  and  monitoring.generally accepted that PSNR values of less
than 18dB are unacceptable. PSNR is the most
Problem  Statementwidely used technique for image and video
quality  measurement.
When dealing with equipment to process TV &
video transmissions, every design depends onA wide range of full reference algorithms
accurate, repeatable measurements. A complexhave been developed, including MPQM (Moving
relationship between objective parameterPictures Quality Metric - 1996) full
measurements and subjective video qualityreference algorithm from EPFL in Switzerland,
exists. The goal is to achieve an objectivethe US Government NTIA ITS lab's VQM (Video
metric; that is an automated measurement. AllQuality Metric - 1999), and CVQE (Continuous
of the equipment must be tested from videoVideo Quality Evaluation - 2004) which is
processors, compression units, transmissionmore suited for low bit rate video. ITU-T
gear, set-top boxes, and displays. TheJ.144 does not actually specify a single
evaluation of the video quality andalgorithm but "provides guidelines on the
ultimately, the customer's reaction to theselection of appropriate" techniques. J.144
picture shown on their new HDTV drives thedoes contain descriptions and test results
business.for four full reference algorithms. The VQM
algorithm from the US Government's NTIA ITS
Previous  Optionslab achieved slightly better performance than
the  other  algorithms  listed.
For years, traditional techniques that looked
at color, brightness, contrast, etc. wereVideo  Clarity  Solution
effective. However, the advent of compressed
digital video transmission has complicatedThe ClearView Video Analysis system
the process of evaluating video sequences,simplifies the work flow, by combining the
with respect to perceived picture quality.video server and capture device into one
During compression, a certain amount of theunit. By doing this, the original source and
original content is knowingly discarded.processed video sequences can be displayed -
Visible impairments such as "blockiness" andside-by-side, mirrored, or seamless split -
Gaussian noise are by-products. Traditionalon the same display. Further the operator can
measurement techniques that look at color,play any video sequence in any order, at any
brightness, contrast, etc. are no longerspeed, for any duration with zoom, pan, jog,
effective.and  shuttle  capabilities.
Objective  Measurement  StatusClearView applies various objective metrics
to the video sequences, generates graphs, and
After analyzing the subjective results,calculates an objective score. While
considerable work has been done to come updevelopment of more advanced algorithms is
with a quantifiable, repeatable measurementongoing, we have built a hybrid system, which
which is not dependent on the video sequence.offers subjective viewing modes; while
To date, objective measurements have notcalculating objective measurements. ClearView
proven to estimate the user's opinion. Tocan easily be programmed to display video
introduce and qualify new algorithms, Videosequences for the expert viewers; while
Quality Experts Group (VQEG) was formed inrecording the objective metric scores along
1997, and generally acts in cooperation withwith the MOS. While the MOS cannot be
ITU. VQEG has conducted two phases ofrepeated, the objective metric can be easily
testing; in the first phase ten algorithmsand  readily.
were tested, and the conclusion reached was
that all of them were statisticallyBenefits
equivalent. A second phase of testing,
conducted several years later, involved a* Repeatable tests, quantitative results, and
smaller set of algorithms, more controlleda  streamlined  setup.
video sequences, and a better defined test
environment. The result of the second phases* Capable of analyzing 2, 1080P video
warranted the recent ITU-T Recommendationsequences  in  real-time
J.144.
* ClearView does not alter the original video
Three basic types of objective videosequences - video sequences are processed
assessment  metrics  exist:completely  uncompressed.
* Full Reference - A method that conducts a* Multiple viewing modes are presented on 1
comparison  of  video  source  to  resultant.display - no need to calibrate 2 separate
Television displays to compare video
* Reduced Reference - A method that conductssequences.
a comparison of a reduced video source to a
full  result.* Objective Metrics are included as add-ons
as  the  technology  advances.
* No Reference - A method when there is no
reference.Implementation
The three methods have differentClearView takes advantage of the
applications, and they provide differenthigh-reliability of today's off-the-shelf
degrees of measurement accuracy, expressed incomputer platforms. This ensures that
terms of correlation with subjectiveproducts are made with the latest and
assessment  results.greatest hardware available, while at the
same time avoiding the high cost of custom
The work to date has centered on fulldesigns. ClearView is packages in a 4U, 20"
reference algorithms. Full referencedeep Industrial Chassis.



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