Seamless video editing

Wang, Hongcheng; Raskar, R.; Ahuja, N.

doi:10.1109/icpr.2004.1334663

Cited by 6 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the image fusion stage, weighted average fusion, multi-resolution fusion [29], Poisson fusion [30], and optimal seam line fusion [31] are more common fusion methods; each algorithm has its pros and cons and is applicable in different scenarios. The optimal seam line algorithm can be combined with weighted average fusion or multi-resolution fusion methods to improve the image fusion effect.…”

Section: Image Fusionmentioning

confidence: 99%

Research on Improved Multi-Channel Image Stitching Technology Based on Fast Algorithms

et al. 2023

View full text Add to dashboard Cite

The image registration and fusion process of image stitching algorithms entails significant computational costs, and the use of robust stitching algorithms with good performance is limited in real-time applications on PCs (personal computers) and embedded systems. Fast image registration and fusion algorithms suffer from problems such as ghosting and dashed lines, resulting in suboptimal display effects on the stitching. Consequently, this study proposes a multi-channel image stitching approach based on fast image registration and fusion algorithms, which enhances the stitching effect on the basis of fast algorithms, thereby augmenting its potential for deployment in real-time applications. First, in the image registration stage, the gridded Binary Robust Invariant Scalable Keypoints (BRISK) method was used to improve the matching efficiency of feature points, and the Grid-based Motion Statistics (GMS) algorithm with a bidirectional rough matching method was used to improve the matching accuracy of feature points. Then, the optimal seam algorithm was used in the image fusion stage to obtain the seam line and construct the fusion area. The seam and transition areas were fused using the fade-in and fade-out weighting algorithm to obtain smooth and high-quality stitched images. The experimental results demonstrate the performance of our proposed method through an improvement in image registration and fusion metrics. We compared our approach with both the original algorithm and other existing methods and achieved significant improvements in eliminating stitching artifacts such as ghosting and discontinuities while maintaining the efficiency of fast algorithms.

show abstract

Section: Image Fusionmentioning

confidence: 99%

Research on Improved Multi-Channel Image Stitching Technology Based on Fast Algorithms

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Wang et al. [ 21 ] proposed a 3D video integration algorithm, which found a potential function whose gradient field was closest to the resulting gradient field in the sense of least squares. The video was reconstructed by solving a 3D Poisson equation.…”

Section: Introductionmentioning

confidence: 99%

“…This is a natural extension of the spatio-temporal space based on the idea of Poisson image editing proposed by Pérez et al [1]. Wang et al [21] proposed a 3D video integration algorithm, which found a potential function whose gradient field was closest to the resulting gradient field in the sense of least squares. The video was reconstructed by solving a 3D Poisson equation.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Seamless Video Fusion: A Convolutional Pyramid-Based 3D Integration Algorithm

Zhang,

Yuan,

Yan

2024

Sensors

View full text Add to dashboard Cite

Video fusion aims to synthesize video footage from different sources into a unified, coherent output. It plays a key role in areas such as video editing and special effects production. The challenge is to ensure the quality and naturalness of synthetic video, especially when dealing with footage of different sources and qualities. Researchers continue to strive to optimize algorithms to adapt to a variety of complex application scenarios and improve the effectiveness and applicability of video fusion. We introduce an algorithm based on a convolution pyramid and propose a 3D video fusion algorithm that looks for the potential function closest to the gradient field in the least square sense. The 3D Poisson equation is solved to realize seamless video editing. This algorithm uses a multi-scale method and wavelet transform to approximate linear time. Through numerical optimization, a small core is designed to deal with large target filters, and multi-scale transformation analysis and synthesis are realized. In terms of seamless video fusion, it shows better performance than existing algorithms. Compared with editing multiple 2D images into video after Poisson fusion, the video quality produced by this method is very close, and the computing speed of the video fusion is improved to a certain extent.

show abstract

Optimization of video synthesis by means of cost-guided multimodal photometric correction

Ndjiki-Nya

Doshkov

Köppel

2009

2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis

View full text Add to dashboard Cite

In this paper, a novel texture synthesis approach with spatio-temporal boundary conditions is presented. The proposed method is non-parametric and patch-based. Blending between overlapping patches is optimized using a graph-cut technique. Furthermore, a set of photometric correction algorithms, namely Poisson (1) and covariant (2) cloning, is used simultaneously to fit continuation patches into a given neighborhood of the synthetic texture, which minimizes the visibility of patch transitions. The selection of the optimal correction mode is steered by a perceptual cost function. The Poisson and covariant cloning approaches are modified to fit the video synthesis framework proposed in this paper. Our experiments show that the synthesis quality of complex textures can be improved by up to 82% by using an online cost-guided selection of the optimal photometric correction method compared to graph-cut-only approach

show abstract

Seamless video editing

Cited by 6 publications

References 10 publications

Research on Improved Multi-Channel Image Stitching Technology Based on Fast Algorithms

Research on Improved Multi-Channel Image Stitching Technology Based on Fast Algorithms

Enhanced Seamless Video Fusion: A Convolutional Pyramid-Based 3D Integration Algorithm

Optimization of video synthesis by means of cost-guided multimodal photometric correction

Contact Info

Product

Resources

About