Inter frame

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

Fast approach for H.264 inter mode decision

Abstract: A fast inter mode decision approach for H.264 coding standard is presented. The objective is to reduce the number of candidate block types in motion estimation. Experimental results show that the proposed method can efficiently save the computation cost for inter mode decision while maintaining the same PSNR and bit rate.

Method for tracking a video object in a time-ordered sequence of image frames

Abstract: A method for tracking a video object in a time-ordered sequence of image frames, comprises the steps of (a) identifying the object to be tracked in a first frame and determining its shape in the first frame; (b) selecting another frame, referred to as the last frame and identifying the shape of the object in the last frame; (c) selecting a number of intermediate frames between the first and last frames; (d) automatically identifying the shape of the object in the intermediate frames; and (e) interpolating between all of the frames in the sequence so as to determine the trajectory of the object in all of the frames

Geometry-Adaptive Block Partitioning for Video Coding

Abstract: Frame partitioning is a process of key importance in efficient video coding. Most recent video compression technologies, like H.264/AVC, use tree based frame partition. This reveals to be more efficient than simple uniform block partition, typically used in older video coding standards like MPEG-2 or H.263. However, tree based frame partition still does not code efficiently enough video information, as is unable to capture the geometric structure of 2D data. During last years, several works have been developed, mainly in the domain of still image representation and coding, in order to solve such limitations. An example is the use of wedge partitions. Based on these, in this paper, we study a way to better represent and code 2D video data by taking its 2D geometry into account. Our study is developed as an extension of H.264/AVC. Geometry-adaptive partitions are used to improve intra and inter prediction modes. Results obtained with the investigated method show that both better R-D and visual performance can be achieved.

Video Denoising Based on Inter-frame Statistical Modeling of Wavelet Coefficients

Abstract: The paper proposes a joint probability density function to model the video wavelet coefficients of any two neighboring frames and then applies this statistical model for denoising. The parameter of the density function that measures the correlation between the wavelet coefficients of the two frames is used as an index for the motion. The joint density function is employed for spatial filtering of the noisy wavelet coefficients by developing a bivariate maximum a posteriori estimator. A recursive time averaging of the spatially filtered wavelet coefficients is adopted for further noise reduction. Simulation results on test video sequences show an improved performance both in terms of the peak signal-to-noise ratio and the perceptual quality compared to that of the other denoising algorithms

A frame-layer bit allocation for H.263+

Abstract: In typical block-based video coding, the rate-control scheme allocates a target number of bits to each frame of a video sequence and selects the block quantization parameters to meet the frame targets. In this work, we present a new technique for assigning such targets. This method has been adopted in the test model TMN10 of H.263+, but it is applicable to any video coder and is particularly useful for those that use B frames. Our approach selects the frame targets using formulas that result from combining an analytical rate-distortion optimization and a heuristic technique that compensates for the distortion dependency among frames. The method does not require pre-analyses, and encodes each frame only once; hence, it is geared toward low-complexity real-time video coding. We compare this new frame-layer bit allocation in TMN10 to that in MPEG-2's TM5 for a variety of bit rates and video sequences.