An Improved Temporal Frame Interpolation Algorithm for H.264 Video Compression

2011 ◽  
Author(s):  
Hao Chen ◽  
Ye Zhang ◽  
Yu Tao ◽  
Bin Zou ◽  
Wenyan Tang
Keyword(s):  
Video Compression ◽  
Interpolation Algorithm ◽  
Frame Interpolation ◽  
Temporal Frame

scholarly journals Deep Frame Interpolation for Video Compression

2019 ◽  
Author(s):  
Jean Begaint ◽  
Franck Galpin ◽  
Philippe Guillotel ◽  
Christine Guillemot
Keyword(s):  
Video Compression ◽  
Frame Interpolation

scholarly journals Occlusion-aware temporal frame interpolation in a highly scalable video coding setting

2016 ◽  
Vol 5 ◽  
Author(s):  
Dominic Rüfenacht ◽  
Reji Mathew ◽  
David Taubman
Keyword(s):  
Video Coding ◽  
Reference Frames ◽  
State Of The Art ◽  
Scalable Video Coding ◽  
Scalable Video ◽  
Frame Interpolation ◽  
Smooth Motion ◽  
Temporal Frame ◽  
Target Frame ◽  
Motion Discontinuities

We recently proposed a bidirectional hierarchical anchoring (BIHA) of motion fields for highly scalable video coding. The BIHA scheme employs piecewise-smooth motion fields, and uses breakpoints to signal motion discontinuities. In this paper, we show how the fundamental building block of the BIHA scheme can be used to perform bidirectional, occlusion-aware temporal frame interpolation (BOA-TFI). From a “parent” motion field between two reference frames, we use information about motion discontinuities to compose motion fields from both reference frames to the target frame; these then get inverted so that they can be used to predict the target frame. During the motion inversion process, we compute a reliable occlusion mask, which is used to guide the bidirectional motion-compensated prediction of the target frame. The scheme can be used in any state-of-the-art codec, but is most beneficial if used in conjunction with a highly scalable video coder which employs piecewise-smooth motion fields with motion discontinuities. We evaluate the proposed BOA-TFI scheme on a large variety of natural and challenging computer-generated sequences, and our results compare favorably to state-of-the-art TFI methods.

scholarly journals True-Motion Estimation Algorithm and Its Application to Motion-Compensated Temporal Frame Interpolation

IJIREEICE ◽  
2017 ◽  
Vol 5 (5) ◽  
pp. 297-307
Author(s):  
Shashi Kiran S ◽  
Srinivas Babu N ◽  
Ruckmani Divakaran ◽  
Mohmad Ashiq A ◽  
Arun Kumar B ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Estimation Algorithm ◽  
Frame Interpolation ◽  
True Motion ◽  
Temporal Frame ◽  
Motion Estimation Algorithm

scholarly journals Frame Interpolation Based on Visual Correspondence and Coherency Sensitive Hashing

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Lingling Zi ◽  
Junping Du ◽  
Qian Wang
Keyword(s):  
Video Sequences ◽  
Interpolation Algorithm ◽  
Surveillance Video ◽  
Intelligent Monitoring ◽  
Frame Interpolation ◽  
Detection Approach ◽  
Visual Correspondence ◽  
Predicted Values ◽  
The One

The technology of frame interpolation can be applied in intelligent monitoring systems to improve the quality of surveillance video. In this paper, a region-guided frame interpolation algorithm is proposed by introducing two innovative improvements. On the one hand, a detection approach is presented based on visual correspondence for detecting the motion regions that correspond to attracted objects in video sequences, which can narrow the prediction range of interpolated frames. On the other hand, spatial and temporal mapping rules are proposed using coherency sensitive hashing, which can obtain more accurate predicted values of interpolated pixels. Experiments show that the proposed method can achieve encouraging performance in terms of visual quality and quantitative measures.

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