Inter frame

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

Multiple Hypotheses Bayesian Frame Rate Up-Conversion by Adaptive Fusion of Motion-Compensated Interpolations

Abstract: Frame rate up-conversion (FRUC) improves the viewing experience of a video because the motion in a FRUC-constructed high frame-rate video looks more smooth and continuous. This paper proposes a multiple hypotheses Bayesian FRUC scheme for estimating the intermediate frame with maximum a posteriori probability, in which both temporal motion model and spatial image model are incorporated into the optimization criterion. The image model describes the spatial structure of neighboring pixels while the motion model describes the temporal correlation of pixels along motion trajectories. Instead of employing a single uniquely optimal motion, multiple “optimal” motion trajectories are utilized to form a group of motion hypotheses. To obtain accurate estimation for the pixels in missing intermediate frames, the motion-compensated interpolations generated by all these motion hypotheses are adaptively fused according to the reliability of each hypothesis. We revealed by numerical analysis that this reliability (i.e., the variance of interpolation errors along the hypothesized motion trajectory) can be measured by the variation of reference pixels along the motion trajectory. To obtain the multiple motion fields, a set of block-matching sizes is used and the motion fields are estimated by progressively reducing the size of matching block. Experimental results show that the proposed method can significantly improve both the objective and the subjective quality of the constructed high frame rate video.

Temporally adaptive filtering of noisy image sequences using a robust motion estimation algorithm

Abstract: A motion-compensated noise suppression algorithm that employs temporally adaptive filtering along motion trajectories is proposed for image sequences. Filtering is performed via linear minimum mean square error (LMMSE) point estimation. Motion trajectories are determined using a recent motion estimation algorithm, which is capable of performing very well at low signal-to-noise ratios (SNRs). The results suggest that the proposed method is far superior to methods that incorporate implicit or explicit motion compensation, especially in cases of low SNR and/or significant interframe motion. >

Video coding selectable between intra-frame prediction/field-based orthogonal transformation and inter-frame prediction/frame-based orthogonal transformation

Abstract: An encoder considers a frame representing a picture as comprised of areas. For each area, the encoder decides which of frame-based or field-based orthogonal transformation will be most efficient at reducing spatial redundancy in that area. For each area, the encoder decides which of frame-based or field-based predictive encoding will be most efficient at reducing temporal redundancy in that area. The encoder encodes each area of the picture frame using the most efficient orthogonal transformation technique and using the most efficient predictive encoding technique to produce an encoded signal. A decoder decodes the encoded signal. The encoded signal is recorded on a recording medium, transmitted over a transmission channel, or broadcast.

Device, method and digital video encoder for block-matching motion estimation

Abstract: A device or method for video compression uses a technique in which changes in the image are encoded by motions of block of the image and signals indicating evolutions in the block. To determine the motions of the blocks of a each frame, a search is performed for a similar block of a previous frame based on points of the previous frame which are arranged in successive diamond shaped zones. The diamond shaped zones may be centred on the position of the block in previous frame, or one or more predicted motions of the block. The method terminates according to criteria defined using thresholds.