The described technology is directed towards generating a new video image sequence (e.g., for playback at 30 frames per second) based on an existing video image sequence (e.g., originated for playback at 24 frames per second). The technology is based on processing frames, e.g., adjacent pairs of frames in a four-frame sequence, to obtain candidate frames for selecting a similar candidate frame to insert into the original sequence to create the new sequence (e.g., a five-frame sequence). Aspects include selecting a repeated frame to insert or creating a new frame from existing frames to insert, to generate the new sequence based on a difference/scoring comparison.

Systems and methods for generating interpolated images are disclosed. In examples, image features are extracted from a first image and a second image; such image features may be warped using first and second plurality of parameters. A first candidate intermediate frame may be generated based on the warped first features and the warped second features. Multi-scale features associated with the image features extracted from the first image and the second image may be obtained and warped using the first and second plurality of parameters. A second candidate intermediate frame may be generated based on the warped first multi-scale features and the warped second multi-scale features. By blending the first candidate intermedia frame with the second candidate intermediate frame, an interpolated image may be generated.

A motion estimation method for a video processor includes steps of: calculating frame difference between a current input frame and a previous input frame; comparing the frame difference and a threshold to generate a comparison result; if the comparison result indicates the frame difference less than the threshold, determining whether a first block of the current input frame is a mixed block according to a block difference that indicates a difference between the first block and a block of the previous input frame at the same position; generating at least one temporal motion vector candidate for the first block; modifying the temporal motion vector candidate according to a current position difference value of video part in the current input frame when the first block is determined as the mixed block; and determining a motion vector for the first block from multiple motion vector candidates including the temporal motion vector candidate.

A method for frame interpolation and related products are provided. The method is applied to an electronic device including a camera. The method includes the following. On-screen display (OSD) data and first video data collected by the camera are obtained. Second video data is obtained by performing frame interpolation on the first video data. The second video data and the OSD data are displayed in a video window.

The present disclosure relates to a motion estimation method, a chip, an electronic device, and a storage medium. The present disclosure is beneficial to improving the accuracy of motion estimation.

The present disclosure relates to a motion compensation method and module, a chip, an electronic device, and a storage medium, to improve the problem of haloes easily appearing on the edges of moving objects.

Apparatuses, systems, and techniques to interpolate one or more intermediate images from two or more images is disclosed. In at least one embodiment, a processor includes one or more circuits to interpolate one or more intermediate images from two or more images based, at least in part, on one or more inconsistent flow vectors corresponding to the two or more images.

The present invention provides an image processing method, wherein the image processing method includes the steps of: receiving an image signal, wherein the image signal comprises a first frame and a second frame; performing motion estimation on the first frame and the second frame to generate an interpolated frame; for each of a plurality of areas of the interpolated frame, determining whether there is a block in the first frame that moves to the area, and determine whether there is a block in the second frame that moves to the area, to determine whether the area belongs to a cover area or an uncover area; and in response to a determination result indicating that the area belongs to the cover area or the uncover area, adjusting image contents of the interpolated frame.

An approach is provided for testing an Internet of Things device. First data captured on video and indicating visual device output and second data indicating non-visual device output are received during testing of the device. An event log of the device is received. Human interactions with the device are received. The first and second data, the event log entries, and indications of the human interactions are overlaid onto frames of the video that include the device, so that timings of the frames are correlated with timestamps of the overlaid items. Based on the overlaid items, performance, functionality, and usability issues are detected and markers of the issues are generated and overlaid onto a timeline of the video. Responsive to a user selection of one of the markers, the computer locating and displaying a frame of the video that depicts the issue that corresponds to the selected marker.

Method for displaying super-resolution video of at least one moving object without image artifacts using a plurality of microscanned images, including the procedures of acquiring microscanned images of at least one moving object, a first and second subset of the images respectively forming a first and second data set, for each data set, analyzing at least a portion of the subset of the images for spatial and temporal information, determining a respective movement indication of the moving object according to the spatial and temporal information, in parallel to the procedure of analyzing, forming a respective super-resolution image from each data set and designating a respective bounded area surrounding the moving object, and repeatedly displaying each super-resolution image outside the bounded area a plurality of times at a video frame rate and displaying during those times within the respective bounded area, a plurality of consecutive microscanned images of the moving object at the video frame rate.