Abstract: One or more apparatus and method for adaptively detecting motion instability in video. In embodiments, video stabilization is predicated on adaptive detection of motion instability. Adaptive motion instability detection may entail determining an initial motion instability state associated with a plurality of video frames. Subsequent transitions of the instability state may be detected by comparing a first level of instability associated with a first plurality of the frames to a second level of instability associated with a second plurality of the frames. Image stabilization of received video frames may be toggled first based on the initial instability state, and thereafter based on detected changes in the instability state. Output video frames, which may be stabilized or non-stabilized, may then be stored to a memory. In certain embodiments, video motion instability is scored based on a probability distribution of video frame motion jitter values.

Abstract: Systems and methods for choosing whether to select either a spatial interpolation value or a motion compensation interpolation value for deinterlacing an interlaced frame. A minimal sum of absolute differences (SAD) may be determined for a current pixel. Depending on the magnitude of the minimal SAD relative to two threshold values, different checks may be applied. The outcome of the checks may determine whether the spatial interpolation value or the motion compensation interpolation value may be used in deinterlacing. Generally, the magnitude of the minimal SAD may determine the reliability of the SAD and the consequent trustworthiness of the associated motion vector (MV). Greater reliability of the minimal SAD may suggest that the motion compensation interpolation value may be used for purposes of deinterlacing. Less reliability in the minimal SAD may motivate additional checks to further evaluate whether the motion compensation interpolation value should be used.

Abstract: The format of telecined video may be determined including a bottom field first cadence. In addition, video using 2:3:3:2 top field first can be identified. Moreover, mixed cadence videos can also be detected. In some embodiments, mixed cadence videos may be detected by calculating variances of different areas within a frame.

Abstract: Systems and methods for choosing whether to select either a spatial interpolation value or a motion compensation interpolation value for deinterlacing an interlaced frame. A minimal sum of absolute differences (SAD) may be determined for a current pixel. Depending on the magnitude of the minimal SAD relative to two threshold values, different checks may be applied. The outcome of the checks may determine whether the spatial interpolation value or the motion compensation interpolation value may be used in deinterlacing. Generally, the magnitude of the minimal SAD may determine the reliability of the SAD and the consequent trustworthiness of the associated motion vector (MV). Greater reliability of the minimal SAD may suggest that the motion compensation interpolation value may be used for purposes of deinterlacing. Less reliability in the minimal SAD may motivate additional checks to further evaluate whether the motion compensation interpolation value should be used.

Abstract: A method processes a multiview videos of a scene, in which each video is acquired by a corresponding camera arranged at a particular pose, and in which a view of each camera overlaps with the view of at least one other camera. Side information for synthesizing a particular view of the multiview video is obtained in either an encoder or decoder. A synthesized multiview video is synthesized from the of multiview videos and the side information. A reference picture list is maintained for each current frame of each of the multiview videos, the reference picture indexes temporal reference pictures and spatial reference pictures of the acquired multiview videos and the synthesized reference pictures of the synthesized multiview video. Each current frame of the multiview videos is predicted according to reference pictures indexed by the associated reference picture list.

Abstract: Methods for detecting and eliminating a ghosting effect of liquid crystal display (LCD) are disclosed. The ghosting effect detecting method comprises the steps of providing a visual persistency period, providing a maximum color alternation speed of the LCD, obtaining a threshold value by multiplying the human visual persistency period by the maximum color alternation speed, calculating a variation of an intensity level of each of the plurality of pixel components of the LCD and comparing the threshold value and the variation of the intensity level to obtain a comparison result to determine whether the ghosting effect exists in the pixel component.