Inter frame

About: Inter frame is a research topic. Over the lifetime, 4154 publications have been published within this topic receiving 63549 citations.

A Motion Image Detection Method Based on the Inter-Frame Difference Method

Abstract: Mobile robot vision system based on image information on environment, to make it automatic separation from obstacles and achieve precise mathematical description of obstacles, we construct detection model which combined by the frame difference method and background subtraction for target detection, comprehensive utilization of the main idea of three frame difference image method, the background subtraction and frame difference method combined to complement each other, thereby overcoming each other's weaknesses and improving the effect of target detection, experiment results show that this method can effectively improve the efficiency of target detection.

Simplified Block Matching Algorithm for Fast Motion Estimation in Video Compression

Abstract: Block matching motion estimation was one of the most important modules in the design of any video encoder. It consumed more than 85% of video encoding time due to searching of a candidate block in the search window of the reference frame. To minimize the search time on block matching, a simplified and efficient Block Matching Algorithm for Fast Motion Estimation was proposed. It had two steps such as prediction and refinement. The temporal correlation among successive frames and the direction of the previously processed frame for predicting the motion vector of the candidate block was considered during prediction step. Different combination of search points was considered in the refinement step of the algorithm which subsequently minimize the search time. Experiments were conducted on various SIF and CIF video sequences. The performance of the algorithm was compared with existing fast block matching motion estimation algorithms which were used in recent video coding standards. The experimental results were shown that the algorithm provided a faster search with minimum distortion when compared to the optimal fast block matching motion estimation algorithms.

Method and apparatus for motion compensated frame rate up conversion for block-based low bit rate video

Abstract: A method and apparatus for video frame interpolation using a current video frame, at least one previous video frame, and a set of transmitted motion vectors is described. A first set of motion vectors is created as a function of the set of transmitted motion vectors. An intermediated video frame is identified, where the intermediate video frame having a plurality of non-overlapping blocks. Each non-overlapping block is assigned with at least one motion vector chosen from the first set of motion vectors to create a set of assigned motion vectors. Then, a second set of motion vectors is created as a function of the assigned set of motion vectors. A video frame is generated using the second set of motion vectors.

Movement Compensated Interframe Prediction for NTSC Color TV Signals

Abstract: This paper presents techniques for interframe prediction of color NTSC signals using motion estimation and compensation techniques. A key element in movement-compensated prediction is the displacement estimation algorithm. A number of techniques for performing this estimation have been presented in the literature [1]-[13]. Some new techniques giving improved performance are presented in this paper. Also, a movement-compensated composite prediction approach for coding of the NTSC color signals is presented. The performance of different displacement estimation algorithms is evaluated and compared for both component and composite approaches. A database of several color NTSC video sequences is used in the evaluation.

Frame rate preferences in low bit rate video

Abstract: A double stimulus subjective evaluation was performed to determine preferred frame rates at a fixed bit rate for low bit rate video. Stimuli consisted of eight reference color video sequences of size 352/spl times/240 pixels. These were compressed at rates of 100, 200 and 300 kbps for low, medium, and high motion sequences, respectively, using three encoders and frame rates of 10, 15 and 30 frames per second. Twenty-two viewers ranked their frame rate preferences using an adjectival categorical scale. Their preferences were analyzed across sequence content, motion type, and encoder. Viewers preferred a frame rate of 15 frames per second across all categories, with several notable content-based exceptions.