Residual frame

About: Residual frame is a research topic. Over the lifetime, 4443 publications have been published within this topic receiving 68784 citations.

Video refresh compression

Abstract: A data compression apparatus and method of displaying graphics in a computer system employs a full frame buffer and compressed frame buffer wherein pixel data is sent to a display device and concurrently compressed and captured in parallel so that subsequent unchanged frames are regenerated directly from the compressed frame buffer.

Method and apparatus to encode and decode stereoscopic video data

Abstract: A method and apparatus for encoding or tagging a video frame provides a way to indicate, to a receiver, for example, whether the video content is 3-D content or 2-D content. A method and apparatus for decoding an encoded or tagged video frame provides a way, for a receiver, for example, to determine whether the video content is 3-D content or 2-D content. 3-D video data may be encoded by replacing lines of at least one video frame with a specific color or pattern. When a decoder detects the presence of the colored or patterned lines in an image frame, it may interpret them as an indicator that 3-D video data is present.

Method and apparatus for performing occlusion testing while exploiting frame to frame temporal coherence

Abstract: A method and apparatus is provided for performing occlusion testing in a computer graphics display system. The apparatus comprises logic configured to determine whether or not an object of a current image frame was occluded in a previous image frame. If a determination is made that the object was not occluded in the previous image frame, then the logic causes the object of the current image frame to be rendered to a frame buffer of the computer graphics display system. The current and previous image frames are each comprised of a plurality of objects, and the logic determines whether or not each of the objects of the current image frame were occluded in the previous image frame. The logic causes any objects of the current image frame that were not occluded in the previous image frame to be rendered to the frame buffer. Once all of the objects of the current image frame that were not occluded in the previous image frame have been rendered to the frame buffer, the logic determines whether or not any of the rendered objects of the current image frame are occluded. If the logic determines that a particular rendered object of the current image frame is not occluded, the logic determines whether or not the particular object was occluded in the previous image frame. If so, then the logic determines that a prediction error has occurred because the object was not rendered even though it is visible. In accordance with a first embodiment of the present invention, when the logic determines that a prediction error has occurred, it causes the visible object to be rendered to the frame buffer to correct the error. In accordance with a second embodiment of the present invention, the logic waits until all of the objects have been tested and then causes all of the visible objects to be rendered to the frame buffer.

Video quality estimation device, video quality estimation method, frame type judgment method, and recording medium

Abstract: A frame type determination unit (15B) counts, as the frame data amount of each frame, the number of TS packets included in the frame based on a frame start position included in an input TS packet of video communication, and determines a frame type based on the large/small relationships between the frame data amounts of the frames. A video quality estimation unit (15C) estimates the video quality of the video communication based on the frame type of each frame obtained by the frame type determination unit (15B), the frame structure (14A) of an elementary stream read out from a storage unit (14), and a TS packet loss state detected from the TS packets of the video communication.

Scene cut frame detector and scene cut frame group detector

Abstract: An input image and a reference image which are input to a contracted image processing unit, are converted into contracted image, which are constituted by average values of blocks of the input and reference frames. With respect to the contracted image, an inter-frame difference unit determines the inter-frame difference Dn between the input and reference images and the temporal change ΔDn in the inter-frame difference. A first judging unit judges, according to the above data, the input frame to be a non-cut frame, a cut frame or a cut frame candidate. When the input frame is judged to be a cut frame, an output unit effects a cut frame output, and then the next input frame processing is performed. With respect to a cut frame candidate, a chrominance histogram correlation unit calculates the correlation ρ of the color distribution of the chrominance histogram by using contracted image of chrominance signal. A second judging unit makes an overall judgment on the inter-frame difference Dn, temporal change ΔDn therein, and correlation ρ for the cut frame detection.