Abstract: In one embodiment, a method includes receiving a source image and its associated parameters from each of multiple image sources, associating each of the source images with a layer in a range of layers based on the parameters associated with the source images, the range of layers specifying a composition layering order of the source images, generating a corresponding customized distortion mesh for each particular source image in the source images based on the parameters associated with the particular source image and at least a portion of the parameters associated with each of the source images that is associated with any layer preceding a layer associated with the particular source image, modifying each of the source images using the corresponding customized distortion mesh, generate a composite image using the modified source images, and display the composite image as a frame in a video.

Abstract: In one embodiment, a method includes accessing a first image corresponding to a first frame of a video stream, rendering a first area of a second image corresponding to a second frame of the video stream, generating a second area of the second image corresponding to the second frame of the video stream by re-projecting the second area of the first image according to one or more warping parameters, and constructing the second image corresponding to the second frame by compositing the rendered first area and the generated second area of the second image. In another embodiment, a method includes an operating system receiving a set of data associated with an object from a first application, storing the set of data on the operating system, receiving a command to share the object with a second application, and allowing the second application to access the portion of the data associated with the object that it needs.

Abstract: In one embodiment, a method includes receiving a source image and its associated parameters from each of multiple image sources, associating each of the source images with a layer in a range of layers based on the parameters associated with the source images, the range of layers specifying a composition layering order of the source images, generating a corresponding customized distortion mesh for each particular source image in the source images based on the parameters associated with the particular source image and at least a portion of the parameters associated with each of the source images that is associated with any layer preceding a layer associated with the particular source image, modifying each of the source images using the corresponding customized distortion mesh, generate a composite image using the modified source images, and display the composite image as a frame in a video.

Abstract: In one embodiment, a method includes receiving a source image and its associated parameters from each of multiple image sources, associating each of the source images with a layer in a range of layers based on the parameters associated with the source images, the range of layers specifying a composition layering order of the source images, generating a corresponding customized distortion mesh for each particular source image in the source images based on the parameters associated with the particular source image and at least a portion of the parameters associated with each of the source images that is associated with any layer preceding a layer associated with the particular source image, modifying each of the source images using the corresponding customized distortion mesh, generating a composite image using the modified source images, and displaying the composite image as a frame in a video.

Abstract: In one embodiment, a method includes receiving a source image and its associated parameters from each of multiple image sources, associating each of the source images with a layer in a range of layers based on the parameters associated with the source images, the range of layers specifying a composition layering order of the source images, generating a corresponding customized distortion mesh for each particular source image in the source images based on the parameters associated with the particular source image and at least a portion of the parameters associated with each of the source images that is associated with any layer preceding a layer associated with the particular source image, modifying each of the source images using the corresponding customized distortion mesh, generating a composite image using the modified source images, and displaying the composite image as a frame in a video.

Abstract: A method reducing a motion sickness effect associated with a rendering of a video on a virtual reality device includes: extracting, from a portion of the video, at least one motion parameter that relates to a motion of a camera used for capturing the video, determining, based on the extracted at least one motion parameter, at least one motion sickness reduction scheme to be applied to the video, and dynamically rendering the video to the virtual reality device by applying the determined motion sickness scheme to the portion of the video.

Abstract: The embodiments herein provide a mobile device comprising a display, and a processor configured to receiving a texture to be rendered on the display, checking at least one rendering parameter for the received texture wherein the rendering parameter comprises at least one of a device resolution, available memory, rendering path, and texture type, selecting at least one memory optimization technique based on the at least one rendering parameter, wherein the memory optimization technique is at least one of Dynamic Texture Scaling (DTS), Content Adaptive Compression (CAC), and On Device Texture Compression (ODTC) and performing the selected texture optimization technique on the received texture.

Abstract: The embodiments herein provide a mobile device comprising a display, and a processor configured to receiving a texture to be rendered on the display, checking at least one rendering parameter for the received texture wherein the rendering parameter comprises at least one of a device resolution, available memory, rendering path, and texture type, selecting at least one memory optimization technique based on the at least one rendering parameter, wherein the memory optimization technique is at least one of Dynamic Texture Scaling (DTS), Content Adaptive Compression (CAC), and On Device Texture Compression (ODTC) and performing the selected texture optimization technique on the received texture.

Abstract: A method reducing a motion sickness effect associated with a rendering of a video on a virtual reality device includes: extracting, from a portion of the video, at least one motion parameter that relates to a motion of a camera used for capturing the video, determining, based on the extracted at least one motion parameter, at least one motion sickness reduction scheme to be applied to the video, and dynamically rendering the video to the virtual reality device by applying the determined motion sickness scheme to the portion of the video.