SIFT-guided multi-resolution video inpainting with innovative scheduling mechanism and irregular patch matching

Kuo, Tien-Ying; Su, Po-Chyi; Kuan, Yun-Ping

doi:10.1016/j.ins.2016.08.091

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…Prior knowledge and non-means clustering algorithm are used to separate the motion region in literature, 3 which may not work when the pedestrian carries large objects. Motion vector is proposed in literature 4 to detect pedestrians when it is difficult to correctly separate motion segmentation and merge objects in the foreground by estimating the number of pedestrians and direction of motion based on the density and direction clustering of motion-vector feature points. However, the positioning accuracy will also be greatly reduced when pedestrians overlap, and this method does not work when the actual scene is more complex.…”

Section: Introductionmentioning

confidence: 99%

An improved corner detection algorithm used in video statistics

Sun

Zhang

2018

Journal of Algorithms & Computational Technology

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In order to address the difficult problem to determine the number of populations, this paper improves the algorithm based on the Harris point detection algorithm, and the number of people is returned through the first-order linear regression model. First of all, according to the shortcomings of Harris corner algorithm in population statistics, an adaptive gray difference idea is proposed, and the concept of integral image is introduced to overcome its defects in noise immunity and real-time operation. Secondly, in view of the large error generated in the process of population statistics in the first-order static model, a dynamic linear model regression method is proposed. In this method, it is believed that there is certain proportionality coefficient between each frame of corner points and the number of people with the change of time, and this coefficient has certain correlation with the angle points in the previous frame and current frame. At the same time, in order to eliminate the number of redundant corners generated in the corner statistics process, the frame difference method is used to filter the stationary point. Finally, the number of people is returned through first-order linear model.

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Section: Introductionmentioning

confidence: 99%

An improved corner detection algorithm used in video statistics

Sun

Zhang

2018

Journal of Algorithms & Computational Technology

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“…This technique is able to fill a complex texture, especially for linear structures, while being applicable in exemplar-based texture synthesis to generate an unnatural texture. The latest research in image inpainting includes the proposition of a distributed algorithm to train the RBM (Restricted Boltzmann Machine) model based on the MapReduce framework and Hadoop distributed file systems, the evaluations of the proposed learning algorithm are carried out on image inpainting [4]; a transform domain inpainting method [5]; a video inpainting algorithm targeted at achieving a better tradeoff between visual quality and computational complexity [6]; a depth map inpainting algorithm based on a sparse distortion model [7]; and a robust image-based modeling system to create highquality 3D models of complex objects from a sequence of unconstrained photographs to improve patch search [8]. To overcome the two main limitations of the Criminisi algorithm, namely inaccurate completion order and the inefficiency in searching matching patches, we propose an improved inpainting method for the exemplar-based image inpainting and only use adjacent information of missing regions in Thangka image inpainting.…”

Section: Introductionmentioning

confidence: 99%

Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka

Wang

Jia

2017

J Image Video Proc.

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Exemplar-based image inpainting, as proposed by Criminisi et al. (IEEE Trans Image Process 13(9):1200-1212, 2004, fills missing regions by using a similar exemplar. However, when the missing region is a unique texture patch, an incorrect texture is filled in the missing region because a similar exemplar of damaged patch could not be found. A new image inpainting method based on an eight-direction or arbitrary direction symmetrical exemplar is proposed, suitable for damaged images containing local symmetry. The following three steps are the keys of this method. (1) According to certain similarity criteria, the symmetrical exemplars of damaged regions in eight directions or arbitrary directions are found. (2) The most similar symmetrical exemplar is selected from eight-direction or arbitrary-direction symmetrical exemplars. (3) Finally, the damaged region is filled using the most similar symmetrical exemplar. It is shown that the results of image inpainting are good when missing image regions have similar symmetry. Image inpainting is a single, efficient method. In addition, a new evaluation method of image restoration results based on similar exemplars is proposed for the inpainting effect, which is closely related to the repair algorithm. Therefore, the methods can more objectively measure the inpainting effect.

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Damaged region filling by improved criminisi image inpainting algorithm for thangka

2018

Cluster Comput

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SIFT-guided multi-resolution video inpainting with innovative scheduling mechanism and irregular patch matching

Cited by 7 publications

References 24 publications

An improved corner detection algorithm used in video statistics

An improved corner detection algorithm used in video statistics

Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka

Damaged region filling by improved criminisi image inpainting algorithm for thangka

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