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Documents
These documents are arranged in chronological order, starting with the most recent publications.
Reduced Reference Video Calibration Algorithms, National Telecommunications and Information Administration (NTIA) Technical Report TR-08-433b, November, 2007.
Authors: Margaret H. Pinson, Stephen Wolf
ABSTRACT: This report describes four Reduced Reference (RR) video calibration algorithms of low computational complexity. RR methods are useful for performing end-to-end in-service video quality measurements since these methods utilize a low bandwidth network connection between the original (source) and processed (destination) ends. The first RR video calibration algorithm computes temporal registration of the processed video stream with respect to the original video stream (i.e., video delay estimation). The second algorithm jointly calculates spatial scaling and spatial shift. The third algorithm calculates luminance gain level offset of the processed video stream with respect to the original video stream. The fourth algorithm estimates the valid video region of the original or processed video stream (i.e., the portion of the video image that contains actual picture content). All the algorithms utilize only the luminance (Y) image plane of the video signal.
Batch Video Quality Metric (BVQM) User’s Manual, National Telecommunications and Information Administration (NTIA) Handbook HB-08-441b, November, 2007.
Authors: Margaret H. Pinson, Stephen Wolf
ABSTRACT: This handbook provides a user’s manual for the batch video quality metric (BVQM) tool. BVQM runs under the Windows XP® or Red Hat Linux® operating systems. BVQM performs objective automated quality assessments of processed video clip batches (i.e., as output by a video system under test). BVQM reports video calibration and quality metric results such as: temporal registration, spatial registration, spatial scaling, valid region, gain/level offset, and objective video quality estimates. BVQM operates on original and processed video files only, and has no video capture capability.
BVQM compares the original video clip to the processed video clip and reports quality estimates on a scale from zero to one. On this scale, zero means that no impairment is visible and one means that the video clip has reached the maximum impairment level (excursions beyond one are possible for extremely impaired video sequences).