Abstract:
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.
Abstract:
An example apparatus includes a kernel size estimator to estimate a blur kernel size of a captured image. The example apparatus also further includes a frame checker to discard the captured image if the estimated blur kernel size of the captured images exceeds a threshold kernel size. The captured image is to be used in a set if the estimated blur kernel size does not exceed the threshold kernel size. The example apparatus further includes a composite generator to generate a composite image based on the set of images.
Abstract:
Techniques related to managing the use of motion estimation in video processing are discussed. Such techniques may include determining dividing two video frames each into corresponding regions, generating phase plane correlations for the corresponding regions, determining whether the video frames are motion estimation correlated based on the phase plane correlations, and providing a video frame prediction mode indicator based on the determination.