EuclidIQ Receives Patent for Feature-Based Video Compression

EuclidIQ has received a U.S. patent for its “feature-based video compression” algorithms and related technology.
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Compression technology provider EuclidIQ, based in Concord, Mass., has received a U.S. patent for its “feature-based video compression” algorithms and related technology, which describes a method of extending conventional video compression via the detection and aggregation of features. (The company received a patent in Japan earlier this year that covered the same technology.)

This method of “extending conventional video compression via the detection and aggregation of features” improves compression results, according to the patent filing, “especially in cases where feature modeling captures redundancy of visual phenomena in the video data in a way that is beyond the capabilities of conventional video encoders.”

EuclidIQ’s compression technology “enables an encoder to search a greater number of previously decoded frames and, within each of those frames, a greater area and a much higher number of pels [picture elements] compared with conventional compression, which considers fewer frames, smaller areas and fewer pels. The feature-based search is not computationally prohibitive because the expansion of the search area is directed by feature tracking.”

Nigel Lee, EuclidIQ’s chief science officer, says, “This patent expands the company’s body of intellectual property that applies computer vision modeling techniques to video compression by adding a feature-based method of video compression to our previous patents that describe object-based methods of video compression.”

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