Residual frame

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

Content adaptive dominant motion compensated prediction for next generation video coding

Abstract: Techniques related to dominant motion compensated prediction for next generation video coding are described.

Video coding method and apparatus for efficiently predicting unsynchronized frame

Abstract: A multi-layered video encoding method is provided wherein motion estimation is performed by using one of two frames of a lower layer temporally closest to an unsynchronized frame of a current layer as a reference frame. A virtual base layer frame at the same temporal location as that of the unsynchronized frame is generated using a motion vector obtained as a result of the motion estimation and the reference frame. The generated virtual base layer frame is subtracted from the unsynchronized frame to generate a difference, and the difference is encoded.

A digital stream transcoder with a hybrid-rate controller

Abstract: A rate controller in a transcoder, which receives a stream of compressed frames carried in a bit stream, selectively determines whether to quantize and/or threshold slices of a frame carried in the stream of frames. The rate controller determines the input size of the frame and based at least in part upon at least a desired size, requantizes and/or thresholds the frame such that the output size of the frame is approximately the desired size.

Keyframe Based Video Summarization Using Automatic Threshold & Edge Matching Rate

Abstract: Shot boundary detection and Keyframe Extraction is a fundamental step for organization of large video data. Key frame extraction has been recognized as one of the important research issues in video information retrieval. Video shot boundary detection, which segments a video by detecting boundaries between camera shots, is usually the first and important step for content based video retrieval and video summarization. This paper discusses the importance of key frame extraction; briefly review and evaluate the existing approaches, to overcome the shortcomings of the existing approaches. This paper also proposes a new approach for key frame extraction based on the block based Histogram difference and edge matching rate. Firstly, the Histogram difference of every frame is calculated, and then the edges of the candidate key frames are extracted by Prewitt operator. At last, the edges of adjacent frames are matched. If the edge matching rate is above average edge matching rate, the current frame is deemed to the redundant key frame and should be discarded. Histogram based algorithms are very applicable to SBD; They provide global information about the video content and are faster without any performance degradations.

Rejected frame concealment

Abstract: In a receiver of a frame based radio communication system rejected frames are concealed according to a first algorithm (LOOP S) if the last accepted frame was a speech frame and according to a second algorithm (LOOP B) if the last accepted frame was a frame containing background sounds.