One common way to aid coaching and seek to improve athletes’performance is by recording training sessions for posterior analysis.In the case of sailing,coaches record videos from another boat,but usually rely on hand...One common way to aid coaching and seek to improve athletes’performance is by recording training sessions for posterior analysis.In the case of sailing,coaches record videos from another boat,but usually rely on handheld devices,which may lead to issues with the footage and missing important moments.On the other hand,by autonomously recording the entire session with a fixed camera,the analysis becomes challenging owing to the length of the video and possible stabilization issues.In this work,we aim to facilitate the analysis of such full-session videos by automatically extracting maneuvers and providing a visualization framework to readily locate interesting moments.Moreover,we address issues related to image stability.Finally,an evaluation of the framework points to the benefits of video stabilization in this scenario and an appropriate accuracy of the maneuver detection method.展开更多
We consider the linear and non-linear enhancement of diffusion weighted magnetic resonance images(DW-MRI)to use contextual information in denoising and inferring fiber crossings.We describe the space of DW-MRI images ...We consider the linear and non-linear enhancement of diffusion weighted magnetic resonance images(DW-MRI)to use contextual information in denoising and inferring fiber crossings.We describe the space of DW-MRI images in a moving frame of reference,attached to fiber fragments which allows for convection-diffusion along the fibers.Because of this approach,our method is naturally able to handle crossings in data.We will perform experiments showing the ability of the enhancement to infer information about crossing structures,even in diffusion tensor images(DTI)which are incapable of representing crossings themselves.We will present a novel non-linear enhancement technique which performs better than linear methods in areas around ventricles,thereby eliminating the need for additional preprocessing steps to segment out the ventricles.We pay special attention to the details of implementation of the various numeric schemes.展开更多
基金This work was supported by the North Sea Innovation Test Area with the help of a financial contribution from the European Regional Development Fund.
文摘One common way to aid coaching and seek to improve athletes’performance is by recording training sessions for posterior analysis.In the case of sailing,coaches record videos from another boat,but usually rely on handheld devices,which may lead to issues with the footage and missing important moments.On the other hand,by autonomously recording the entire session with a fixed camera,the analysis becomes challenging owing to the length of the video and possible stabilization issues.In this work,we aim to facilitate the analysis of such full-session videos by automatically extracting maneuvers and providing a visualization framework to readily locate interesting moments.Moreover,we address issues related to image stability.Finally,an evaluation of the framework points to the benefits of video stabilization in this scenario and an appropriate accuracy of the maneuver detection method.
文摘We consider the linear and non-linear enhancement of diffusion weighted magnetic resonance images(DW-MRI)to use contextual information in denoising and inferring fiber crossings.We describe the space of DW-MRI images in a moving frame of reference,attached to fiber fragments which allows for convection-diffusion along the fibers.Because of this approach,our method is naturally able to handle crossings in data.We will perform experiments showing the ability of the enhancement to infer information about crossing structures,even in diffusion tensor images(DTI)which are incapable of representing crossings themselves.We will present a novel non-linear enhancement technique which performs better than linear methods in areas around ventricles,thereby eliminating the need for additional preprocessing steps to segment out the ventricles.We pay special attention to the details of implementation of the various numeric schemes.
