Abstract:
A video quality comparison tool provides for direct visual perceptual comparison of video sequences. Two inputs are presented at the same position and size, with no-look user choice of which to see and easy back-and-forth comparison while the videos are playing, single-stepping, or paused.
Abstract:
Systems and Methods disclosed for measuring a similarity between the input and the output of computing systems and communications channels. Techniques disclosed provide for low complexity prediction method of a perceptual video quality (PVQ) score, which may be used to design and tune performance of the computing systems and communications channels.
Abstract:
In a coding system, an encoder codes video data according to a predetermined protocol, which, when decoded causes an associated decoder to perform a predetermined sequence of decoding operations. The encoder may perform local decodes of the coded video data, both in the manner dictated by the coding protocol that is at work and also by one or more alternative decoding operations. The encoder may estimate relative performance of the alternative decoding operations as compared to a decoding operation that is mandated by the coding protocol. The encoder may provide identifiers in metadata that is associated with the coded video data to identify such levels of distortion and/or levels of resources conserved. A decoder may refer to such identifiers when determining when to engage alternative decoding operations as may be warranted under resource conservation policies.
Abstract:
Devices and methods for determining image quality using full-reference and non-reference techniques. Full reference image quality may be determined prior to output of an image or video frame from an image sensor processor by temporarily retaining image data from the image sensor and comparing processed image data of the image to the retained, non-processed image data of the same image. Full reference image quality determination may be assisted by a heuristic-based fault indicator. Image quality may also be determined by a non-reference technique of matching the image to one of various scenarios that are associated with sets of heuristics and applying the heuristics of the particular scenario to the image. Instead of relying on a nominal frame rate, video timing quality may be determined by comparing the capture time interval between successive video frames to the presentation time interval of the same video frames.
Abstract:
Devices and methods for determining image quality using full-reference and non-reference techniques. Full reference image quality may be determined prior to output of an image or video frame from an image sensor processor by temporarily retaining image data from the image sensor and comparing processed image data of the image to the retained, non-processed image data of the same image. Full reference image quality determination may be assisted by a heuristic-based fault indicator. Image quality may also be determined by a non-reference technique of matching the image to one of various scenarios that are associated with sets of heuristics and applying the heuristics of the particular scenario to the image. Instead of relying on a nominal frame rate, video timing quality may be determined by comparing the capture time interval between successive video frames to the presentation time interval of the same video frames.
Abstract:
A video quality assessment method may include frame-by-frame analysis of a test video sequence (often compressed) with its original (reference) counterpart, pre-conditioning elements of the test and reference frames, defining a region of interest in the pre-conditioned test frame and estimating relative errors within the region of interest between the test and reference frame, filtering the estimated errors of the region of interest temporally across adjacent frames within a perpetually relevant time window, aggregating the filtered errors within the time window, ranking the aggregated errors, selecting a subset of the ranked errors, aggregating across the selected subset of errors, and inputting said aggregated error to a quality assessment system to determine a quality classification along with an estimated quality assessment.
Abstract:
A method includes sampling a common signal over a plurality of iterations, concatenating the sampled iterations, summing samples of the concatenated iterations within a window of a predetermined sample width, at each of a plurality of window positions along the concatenated iterations, and estimating noise of the common signal from the summed sample values at the window positions.
Abstract:
Techniques are disclosed for measuring propagation delay of a media distribution system based on content output by rendering devices. An output from an output device of the media distribution system may be captured and a token may be detected from the captured content. A timecode may be derived from the detected token. The system's propagation delay may be determined from the derived timecode and may provide a basis to analyze system delays and other processing artifacts. In this manner, propagation artifacts may be estimated between multiple rendering devices that lack controls to synchronize their operation.
Abstract:
A video quality assessment method may include frame-by-frame analysis of a test video sequence (often compressed) with its original (reference) counterpart, pre-conditioning elements of the test and reference frames, defining a region of interest in the pre-conditioned test frame and estimating relative errors within the region of interest between the test and reference frame, filtering the estimated errors of the region of interest temporally across adjacent frames within a perpetually relevant time window, aggregating the filtered errors within the time window, ranking the aggregated errors, selecting a subset of the ranked errors, aggregating across the selected subset of errors, and inputting said aggregated error to a quality assessment system to determine a quality classification along with an estimated quality assessment.
Abstract:
A method includes sampling a common signal over a plurality of iterations, concatenating the sampled iterations, summing samples of the concatenated iterations within a window of a predetermined sample width, at each of a plurality of window positions along the concatenated iterations, and estimating noise of the common signal from the summed sample values at the window positions.