![converting panorama video into a still shot converting panorama video into a still shot](https://www.panorama-photo.net/photo/25358.jpg)
Thus far, conventional image and video codings, such as JPEG image and high-efficiency video coding, have been used for the compression of spherical domain images and videos, significantly affecting the development of VR applications. Therefore, improving the compression efficiency of 360° content is in urgent demand. Therefore, the file size of the 360° content tends to be extremely large this requires extensive resources for storage and bandwidth and causes transmission delays. Users can simply select the content by changing the viewing direction in a head-mounted display.įor an immersive visual experience, a higher resolution and frame rate (e.g., 8K at 90 fps) are expected. Furthermore, head-mounted devices such as HTC Vive, Samsung Gear VR, and Oculus Rift allow users to change their point of view and dynamically view 360° content. Accordingly, the demand for 360° content has proliferated with increased attention however, it should be noted that there are still numerous impediments for 360° image processing. VR services are rapidly growing in number, providing high-quality 360° content. In addition, VR applications pursuing real-life simulations on advanced digital devices have been an increasingly intriguing topic. Unlike traditional video, virtual reality (VR) provides 360° content, that is, a bounding sphere containing the entire scene with 360° horizontal and 180° vertical directions to provide a rich user experience.
#Converting panorama video into a still shot professional#
In various applications, including social networking services, teleconferencing, broadcasting, map services, education, professional training, and online games, 360° immersive content has recently become popular.
![converting panorama video into a still shot converting panorama video into a still shot](https://cdn.statically.io/img/www.howtoisolve.com/wp-content/uploads/2017/03/Settings-screen-to-Extract-still-frame-from-a-Live-Photos-iPhone-7-plus-iOS-10-using-duplicate-Photo-feature.jpg)
This study presents findings ranking these formats that are useful for identifying the best image format for a future standard. The evaluation results based on the objective quality metrics have proved that the hybrid equi-angular cube-map format is the most appropriate solution as a common format in 360° image services for where format conversions are frequently demanded. The evaluation is conducted using sample images selected based on several attributes that determine the perceptual image quality. The performances of various projection formats, including equi-rectangular, equal-area, cylindrical, cube-map, and their modified versions, are evaluated based on the conversion causing the least amount of distortion when the format is changed. In this paper, various projection formats are compared to explore the problem of distortion caused by a mapping operation, which has been a considerable challenge in recent approaches. However, standards for a quality assessment of 360° images are limited. Many projection formats have been proposed for 360° videos. The captured images are spherical in nature and are mapped to a two-dimensional plane using various projection methods. Currently available 360° cameras normally capture several images covering a scene in all directions around a shooting point.