Smooth switching method for asynchronous multiple viewpoint videos using frame interpolation

Shishido, Hidehiko; Harazaki, Aoi; Kameda, Yoshinari; Kitahara, Itaru

doi:10.1016/j.jvcir.2019.04.010

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…The proposed TMBAMC and the motion vector estimated by LSTMTA [ 11 ], OFFRN [ 12 ] and MVEBMS [ 15 ] are compared in terms of the accuracy of the number of frame interpolation and the synchronization of the content.…”

Section: Resultsmentioning

confidence: 99%

“…In order to address the problem that the frame rate of the extracted video is inconsistent with that of original video, it is necessary to make interpolation compensation for the retained frames to improve the visual smoothness. The laconic smooth technique based on multi-frame transformation asynchronously (LSTMTA) [ 11 ] is simple to implement. However, the quality of interpolated frames depends on its adjacent frames, and the effect is unstable.…”

Section: Introductionmentioning

confidence: 99%

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Night Vision Anti-Halation Method Based on Infrared and Visible Video Fusion

Guo

Wang

Yang

2022

Sensors

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In order to address the discontinuity caused by the direct application of the infrared and visible image fusion anti-halation method to a video, an efficient night vision anti-halation method based on video fusion is proposed. The designed frame selection based on inter-frame difference determines the optimal cosine angle threshold by analyzing the relation of cosine angle threshold with nonlinear correlation information entropy and de-frame rate. The proposed time-mark-based adaptive motion compensation constructs the same number of interpolation frames as the redundant frames by taking the retained frame number as a time stamp. At the same time, considering the motion vector of two adjacent retained frames as the benchmark, the adaptive weights are constructed according to the interframe differences between the interpolated frame and the last retained frame, then the motion vector of the interpolated frame is estimated. The experimental results show that the proposed frame selection strategy ensures the maximum safe frame removal under the premise of continuous video content at different vehicle speeds in various halation scenes. The frame numbers and playing duration of the fused video are consistent with that of the original video, and the content of the interpolated frame is highly synchronized with that of the corresponding original frames. The average FPS of video fusion in this work is about six times that in the frame-by-frame fusion, which effectively improves the anti-halation processing efficiency of video fusion.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Night Vision Anti-Halation Method Based on Infrared and Visible Video Fusion

Guo

Wang

Yang

2022

Sensors

View full text Add to dashboard Cite

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RETRACTED ARTICLE: Compression based clustering technique for enhancing accuracy in web scale videos

Pillai

Kanthavel

Dhaya

et al. 2020

Multimed Tools Appl

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The next big thing: role of ChatGPT in personal knowledge management challenges and opportunities for knowledge workers across diverse disciplines

Nazeer,

Sumbal,

Liu

et al. 2023

GKMC

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Purpose The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines. Design/methodology/approach The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability. Findings This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM. Research limitations/implications This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research. Originality/value ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

show abstract

Smooth switching method for asynchronous multiple viewpoint videos using frame interpolation

Cited by 4 publications

References 20 publications

Night Vision Anti-Halation Method Based on Infrared and Visible Video Fusion

Night Vision Anti-Halation Method Based on Infrared and Visible Video Fusion

RETRACTED ARTICLE: Compression based clustering technique for enhancing accuracy in web scale videos

The next big thing: role of ChatGPT in personal knowledge management challenges and opportunities for knowledge workers across diverse disciplines

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