Inter frame

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

Motion-compensated multiframe Wiener restoration of blurred and noisy image sequences

Abstract: A computationally efficient multiframe LMMSE filtering algorithm, the motion-compensated multiframe (MCMF) Wiener filter, for restoring image sequences that are degraded by both blur and noise is proposed. MCMF Wiener filter applies to the cases where each frame of the ideal image sequence can be expressed as a globally shifted version of its previous frame. As opposed to single-frame filtering, the MCMF Wiener filter accounts for interframe (temporal) correlations as well as intraframe (spatial) correlations in restoring a given image sequence. The MCMF filter requires neither the explicit estimation of cross correlations among the frames, nor any matrix inversion. It accounts for the interframe correlations implicitly by using the estimated interframe motion information. The results of an extensive study on the performance and robustness of the proposed algorithm are presented. >

An Improved Inter-Frame Prediction Algorithm for Video Coding Based on Fractal and H.264

Abstract: Video compression has become more and more important nowadays along with the increasing application of video sequences and rapidly growing resolution of them. H.264 is a widely applied video coding standard for academic and commercial purposes. And fractal theory is one of the most active branches in modern mathematics, which has shown a great potential in compression. In this paper, this study proposes an improved inter prediction algorithm for video coding based on fractal theory and H.264. This study take the same approach to make intra predictions as H.264 and this study adopt the fractal theory to make inter predictions. Some improvements are introduced in this algorithm. First, luminance and chrominance components are coded separately and the partitions are no longer associated as in H.264. Second, the partition mode for chrominance components has been changed and the block size now rages from $16\times 16$ to $4\times 4$ , which is the same as luminance components. Third, this study introduced adaptive quantization parameter offset, changing the offset for every frame in the quantization process to acquire better reconstructed image. Comparison between the improved algorithm, the original fractal compress algorithm and JM19.0 (The latest H.264/AVC reference software) confirms a slightly increase in Peak Signal-to-Noise Ratio, a significant decrease in bitrate while the time consumed for compression remains less than 60% of that using JM19.0.

Motion field interpolation for frame rate conversion

Abstract: Frame rate conversion is essential for the exchange of video material between different industries and applications Motion compensated interpolation (MCI) has been shown to provide good frame rate conversion results Conventional MCI methods estimate one motion vector per block of the interpolated frame The main disadvantage of such methods are the blocking artefacts that occur at the boundaries of interpolated blocks Pixel-level motion vectors have been shown to reduce this effect and improve the quality of the interpolated frames However, this is usually achieved at the expense of a significant increase in computational complexity This paper proposes a low-complexity method for converting a block-level motion field to a pixel-level motion field The method is called motion field interpolation (MFI) Simulation results show the superior performance of this method

A Steganalysis Scheme for AAC Audio Based on MDCT Difference Between Intra and Inter Frame

Abstract: AAC (Advanced Audio Coding), as an efficient audio codec, has been used widely in mobile internet applications. Steganographies based on AAC are emerging and bringing new challenges to information content security. In this paper, an AAC steganalysis scheme to detect the steganographies which embedded secret information by modifying MDCT coefficient is proposed. The modification of MDCT coefficient will cause the statistical characteristic of the difference between inter-frame and intra-frame changed simultaneously. Based on this ideal, we proposed a scheme to extract combination features to classify cover and stego audio. There are 16 groups of sub-features to represent the correlation characteristics between the multi-order differential coefficients of Intra and Inter frame (MDI2), each sub-feature’s performance are analyzed in this paper, and an ensemble classifier is used to realize the steganalyzer. Experiment results show that the detection accuracy of the proposed scheme are above 85.34% when the relative embed rate is over 50%, this performance is obviously better than the literatures methods. Due to the similarity of the coding principle of AAC and MP3, the proposed features can be applied into MP3 steganalysis.

Adaptive Delta Modulation Systems for Video Encoding

Abstract: This paper describes several adaptive delta modulators designed to encode video signals. One- and two-dimensional ADM algorithms are discussed and compared. Results are shown for bit rates of 2 bits/pixel, 1 bit/pixel and 0.5 bits/pixel. Pictures showing the difference between the encodeddecoded pictures and the original pictures are presented. Results are also presented to illustrate the effect of channel errors on the reconstructed picture. A two-dimensional ADM using interframe encoding is also presented. This system operates at the rate of 2 bits/pixel and produces excellant quality pictures when there is little motion. We also describe and illustrate the effect of large amounts of motion on the reconstructed picture.