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 system for frame rate conversion of a video that includes the use of key points.

A display apparatus is disclosed. The display apparatus includes an image processor configured to convert a frame rate of an image signal to a frame rate converted image signal, a display configured to display an image based on the frame rate converted image signal, and a controller configured to control the image processor to add an object to at least one of the image signal and the frame rate converted image signal depending on a characteristic of the object.

Disclosed is an apparatus and method for VR sickness reduction based on VR sickness assessment. According to an embodiment of the inventive concept, an apparatus for reducing virtual reality (VR) content cybersickness includes a first module extracting feature information about each of predetermined cybersickness precipitating factors through analysis of VR content, and a second module determining a cybersickness precipitating factor requiring cybersickness reduction among the cybersickness precipitating factors based on the extracted feature information about each of the cybersickness precipitating factors, and generating the VR content as VR content having a cybersickness score not greater than a predetermined reference cybersickness score, by performing the cybersickness reduction on corresponding feature information, using a deep learning neural network pre-learned for each of the respective determined cybersickness precipitating factor.

A method and apparatus for video frame interpolation, and a device and a storage medium for the same are provided. The method may include: acquiring a target video, and acquiring a (t−1).sup.th frame of image and a t.sup.th frame of image in the target video; acquiring motion level information of pixel points of the (t−1).sup.th frame of image and the t.sup.th frame of image; acquiring deep frame interpolation features of the (t−1).sup.th frame of image and the t.sup.th frame of image, respectively; and performing a frame interpolation operation layer by layer based on the deep frame interpolation features and the motion level information of the (t−1).sup.th frame of image and the t.sup.th frame of image to generate an intermediate frame between the (t−1).sup.th frame of image and the t.sup.th frame of image, and interpolating the intermediate frame between the (t−1).sup.th frame of image and the t.sup.th frame of image.

Embodiments of this disclosure provide a video frame interpolation apparatus and method. The method includes calculating a bidirectional optical flow between a first frame and a second frame; an performing kernel and weight estimation according to the first frame and the second frame. An adaptive local convolutional kernel is generated by using a convolutional layer and a weight coefficient is generated by using another convolutional layer. A conversion on the first frame and the second frame is performed by using an adaptive conversion layer according to the bidirectional optical flow, the weight coefficient and the adaptive local convolutional kernel, so as to generate a conversion frame. A frame synthesis on the first frame, the second frame and the conversion frame is performed to generate an interpolation frame between the first frame and the second frame.

The present disclosure relates to the field of information display, and specifically to a method, device, computer readable storage medium, and electronic device for video frame interpolation. The method comprises: obtaining, based on two input frames, two initial optical flow maps corresponding to the two input frames; optimizing the initial optical flow maps to obtain target optical flow maps; obtaining an interpolation frame kernel, two depth maps and two context feature maps based on the two input frames; obtaining an output frame using a frame synthesis method based on the target optical flow maps, the depth maps, the context feature maps, and the interpolation frame kernel.

Methods and apparatus, including computer program products, for processing a stream of image frames captured by a camera system. When an image frame from the stream of image frames is dropped, a current camera movement is determined. A substitute image frame for the dropped image frame is generated. The substitute image frame comprises a reference to a previous image frame and includes one or more motion vectors estimated solely based on the determined current camera movement. Remaining image frames in the stream of image frames are encoded and the substitute image frame is inserted at the place of the dropped image frame in the stream of encoded image frames.

Embodiments of this disclosure provide a video frame interpolation apparatus and method. The method includes calculating a bidirectional optical flow between a first frame and a second frame; an performing kernel and weight estimation according to the first frame and the second frame. An adaptive local convolutional kernel is generated by using a convolutional layer and a weight coefficient is generated by using another convolutional layer. A conversion on the first frame and the second frame is performed by using an adaptive conversion layer according to the bidirectional optical flow, the weight coefficient and the adaptive local convolutional kernel, so as to generate a conversion frame. A frame synthesis on the first frame, the second frame and the conversion frame is performed to generate an interpolation frame between the first frame and the second frame.

It is intended to make it possible to make a favorable display of, for example, images of low frame-rate content, with a high-luminance and high-contrast television set. On the basis of an image stream having a first frame rate, for each frame, an object having luminance exceeding a luminance threshold value and/or a motion amount exceeding a motion-amount threshold value is detected as a target object. An image stream having a second frame rate larger than the first frame rate is acquired by inserting, between every pair of two consecutive frames in the image stream having the first frame rate, a predetermined number of frames of interpolated images obtained by performing motion compensation for causing the target object to sequentially move.