Intel Corporation

Marat Gilmutdinov

Anton Veselov

Ramanathan Sethuraman

Andrey Mikhailovich Turlikov

Jean-Pierre Giacalone

Aleksandar Beric

Zdravko Pantic

Vladimir Kovacevic

Ivan Nikolaevich Grokhotkov

Anton Igorevich Veselvo

Various embodiments are generally directed to techniques for determining whether to use an interpolated frame or repeat a base frame in up-converting the frame rate of a base video stream to generate an up-converted video stream. A device to up-convert a frame rate includes an analysis component to analyze a pair of temporally adjacent base frames and a motion vector associated with movement of an object between the pair of base frames to determine a degree of visual artifacts involving an edge of the object in an interpolated frame, and a selection component to compare the degree of visual artifacts to a threshold and select the interpolated frame for insertion between the preceding base frame and the following base frame in up-converting a frame rate of the base video stream to generate an up-converted video stream based on the comparison. Other embodiments are described and claimed.

Techniques for frame repetition control in frame rate up-conversion

Methods, apparatus, systems and articles of manufacture to perform block-based static region detection for video processing are disclosed. Disclosed example video processing methods include segmenting pixels in a first frame of a video sequence into a first plurality of pixel blocks. Such example methods can also include processing the first plurality of pixel blocks and a second plurality of pixel blocks corresponding to a prior second frame of the video sequence to create, based on a first criterion, a map identifying one or more static pixel blocks in the first plurality of pixel blocks. Such example methods can further include identifying, based on the map, a static region in the first frame of the video sequence.

Block-based static region detection for video processing

A method includes calculating a Fourier transform of an image, extracting a plurality of arrays, from the Fourier transform utilizing, for each of the plurality of arrays, one of a plurality of templates each of said templates corresponding to a texture orientation, calculating a maximum value for each of the plurality of arrays, identifying each of the plurality of arrays having a calculated maximum value greater than a predetermined threshold and determining, for each of the plurality of identified arrays, the texture orientation of the template utilized to extract the identified one of the plurality of arrays.

Method of and apparatus for low-complexity detection of periodic textures orientation

An artifact in a discrete cosine transform based decoder output may be detected by developing a set of templates. An average intensity within each block in a reconstructed picture is calculated (). The differences of each pixel value from the average output intensity within each block is determined (). That difference is then multiplied by one of the templates within each block and the results of the multiplications are summed to obtain a calculated result (). The calculated result is then compared to a threshold to detect an artifact such as ringing or mosquito noise artifacts ().

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Saint-Petersburg, Russia

Marat Gilmutdinov