A system including a motion adaptive de-interlacer, a film mode detector, and a combiner. The motion adaptive de-interlacer is configured to determine a first output by de-interlacing a plurality of interlaced frames based on at least a first motion indicator indicating motion between fields of the plurality of interlaced frames. The film mode detector is configured to determine a second output based on a film mode detected based on at least a second motion indicator indicating motion between fields of the plurality of interlaced frames. The film mode detector is further configured to output a control signal based on the second motion indicator and the film mode. The combiner is configured to combine the first output and the second output based on the control signal.

A method includes obtaining multiple video frames. The method also includes determining whether a bi-directional optical flow between the multiple video frames satisfies an image quality criterion for bi-directional consistency. The method further includes identifying a non-linear curve based on pixel coordinate values from at least two of the video frames. The at least two video frames include first and second video frames. The method also includes generating interpolated video frames between the first and second video frames by applying non-linear interpolation based on the non-linear curve. In addition, the method includes outputting the interpolated video frames for presentation.

An apparatus includes at least one processing device configured to obtain input frames from a video. The at least one processing device is also configured to generate a forward flow from a first input frame to a second input frame and a backward flow from the second input frame to the first input frame. The at least one processing device is further configured to generate an occlusion map at an interpolated frame coordinate using the forward flow and the backward flow. The at least one processing device is also configured to generate a consistency map at the interpolated frame coordinate using the forward flow and the backward flow. In addition, the at least one processing device is configured to perform blending using the occlusion map and the consistency map to generate an interpolated frame at the interpolated frame coordinate.

Method and apparatus for de-interlacing a television signal are provided. The method includes: determining whether a pixel to be interpolated is in a strictly static mode; if it is in the strictly static mode, obtaining a pixel value of a first pixel in a previous field which corresponds to the pixel to be interpolated, and setting a pixel value of the pixel to be interpolated to be equal to the pixel value of the first pixel; if it is not in the strictly static mode, determining gradient bands along a plurality of directions by taking the pixel to be interpolated as a center, determining a direction of the pixel to be interpolated based on the gradient bands, and setting the pixel value of the pixel to be interpolated by interpolation based on the direction. Accuracy of the pixel value of the pixel to be interpolated may be improved.

A multi-vision device can include a first display set configured to display a first split image of an entire image of content according to a progressive scanning method; a second display set disposed on a lower side of the first display set to display a second split image of the entire image; and a control unit configured to scan the second split image on the second display set according to a reverse-progressive scanning method, invert the scanned second split image vertically and display the inverted second split image on the second display set.

A novel method of using optical flow algorithm that maximizes the benefit of optical flow synthetic frames while minimizing the associated computation cost is provided. When using optical flow to produce synthetic frames between two actual/recorded frames, the method computes a set of estimates of optical flows (or a flow estimate) between the two frames. These flow estimates are then used to compute all synthetic frames that are needed between the two actual frames by interpolation, which creates each synthetic frame based on its temporal distances from the pair of actual frames.

Method and apparatus for de-interlacing a television signal are provided. The method includes: determining whether a pixel to be interpolated is in a strictly static mode; if it is in the strictly static mode, obtaining a pixel value of a first pixel in a previous field which corresponds to the pixel to be interpolated, and setting a pixel value of the pixel to be interpolated to be equal to the pixel value of the first pixel; if it is not in the strictly static mode, determining gradient bands along a plurality of directions by taking the pixel to be interpolated as a center, determining a direction of the pixel to be interpolated based on the gradient bands, and setting the pixel value of the pixel to be interpolated by interpolation based on the direction. Accuracy of the pixel value of the pixel to be interpolated may be improved.

A novel method of using optical flow algorithm that maximizes the benefit of optical flow synthetic frames while minimizing the associated computation cost is provided. When using optical flow to produce synthetic frames between two actual/recorded frames, the method computes a set of estimates of optical flows (or a flow estimate) between the two frames. These flow estimates are then used to compute all synthetic frames that are needed between the two actual frames by interpolation, which creates each synthetic frame based on its temporal distances from the pair of actual frames.

Apparatuses, systems, and techniques to process image frames. In at least one embodiment, one or more intermediate video frames are generated between a first video frame and a second video frame. In at least one embodiment, the one or more intermediate video frames are generated based, at least in part, on depth information of one or more pixels of the first video frame or second video frame.

An example device for upconverting video data includes a memory configured to store video data; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: determine an amount of motion between a region of a first frame of the video data and a corresponding region of a second frame of the video data; determine a number of frames to interpolate between the first frame and the second frame according to the amount of motion; and interpolate the determined number of frames to upconvert the video data.