Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: A computer implemented method for hashing an image is provided that includes: receiving a reference image frame; deriving an array of reference hash values to represent the reference image frame, wherein the array of reference hash values includes a first reference hash value, a second reference hash value, and a third reference hash value; receiving an test image frame; deriving an array of hash values to represent the test image frame, wherein the array of hash values includes a first test hash value, a second test hash value, and a third test hash value; subtracting the array of test hash values representing the test image frame from the array of reference hash values representing the reference image frame to produce a delta array, wherein the delta array is indicative of an area where the test image frame differs from the reference image frame.

Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: A computer implemented method for hashing an image is provided that includes: receiving a reference image frame; deriving an array of reference hash values to represent the reference image frame, wherein the array of reference hash values includes a first reference hash value, a second reference hash value, and a third reference hash value; receiving an test image frame; deriving an array of hash values to represent the test image frame, wherein the array of hash values includes a first test hash value, a second test hash value, and a third test hash value; subtracting the array of test hash values representing the test image frame from the array of reference hash values representing the reference image frame to produce a delta array, wherein the delta array is indicative of an area where the test image frame differs from the reference image frame.

Abstract: A method of detecting the presence of unacceptable levels of audio to video synchronization errors in audio-video streams is provided. The method includes capturing, at a testing module, a test audio-video stream from a first source and a reference audio-video stream from a second source, extracting a test audio stream and a test video stream from the test audio-video stream, extracting a reference audio stream and a reference video stream from the reference audio-video stream, determining a highest correlation value between the test audio stream and the reference audio stream using cross-correlation, and determining that the test audio-video stream has an unacceptable level of AV-sync errors when the highest correlation value is above a preset correlation threshold.

Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: The present invention concerns a deck of playing cards (1), whereon one or two signs distinctive of each card are represented, and is characterized in that each card provides one or two hollowed areas (41, 42) to thereupon facilitate placement of the fingertips when fanning out said cards as a playing hand, with said zone or zones positioned in an identical fashion on each card of the