Abstract:
A system and method for managing media quality is provided. The system includes a data store with a computer readable medium storing a program of instructions for the managing of media quality; a processor that executes the program of instructions; a media analysis unit to receive transcoded media from a media store, and to detect for a phenomena affecting the transcoded media; a media quality manager, in response to the media analysis unit detection of the phenomena, determining a parameter for transcoding media; and a re-transcode unit to re-transcode the transcoded media based on the parameter.
Abstract:
Computer-implemented methods for temporarily storing history of a web browsing session are provided. In one aspect, the method includes receiving a request to temporarily store session information for a web browsing session comprising at least one request to view a web page. The method also includes compressing data for the session information associated with the web browsing session, and storing the compressed data for the session information associated with the web browsing session only in a volatile memory. The compressed data for the session information stored in the volatile memory is lost when power to the volatile memory is off. A reference to the compressed data for the session information in the volatile memory is removed when the web browsing session is terminated.
Abstract:
An image converter compiles three-dimensional content into a data store, identifies a number of stereo image pairs from the three-dimensional content, computes a depth map for each of the stereo image pairs from the three-dimensional content, and partitions the stereo image pairs in the data store into multiple categories. The image converter determines a depth cue for each of the categories based on the depth map for each of the stereo image pairs in each category. The image converter computes a depth map for a category associated with a two-dimensional input image based on the determined depth cue and renders a three-dimensional output image from the two-dimensional input image using the depth map for the category.
Abstract:
An image converter compiles three-dimensional content into a data store, identifies a number of stereo image pairs from the three-dimensional content, computes a depth map for each of the stereo image pairs from the three-dimensional content, and partitions the stereo image pairs in the data store into multiple categories. The image converter determines a depth cue for each of the categories based on the depth map for each of the stereo image pairs in each category. The image converter computes a depth map for a category associated with a two-dimensional input image based on the determined depth cue and renders a three-dimensional output image from the two-dimensional input image using the depth map for the category.
Abstract:
A combined depth map is generated for a monoscopic image based on a weighted combination of a color depth map, a spatial depth map, and a motion depth map for the image, each describing the depth of pixels in the image relative to the image plane. The color depth map determines the depth of pixels according to their color, the spatial depth map determines the depth of pixels according to their location in the image, and the motion depth map determines the depth of pixels according to their motion in the image. Each of the depth maps is associated with a weight that is used to generate the weighted combination. The weights are adaptive to account for variation between different monoscopic images.
Abstract:
A system and method for detecting media source quality are provided. The system includes a data store comprising a computer readable medium storing a program of instructions for the detection of media source quality; a processor that executes the program of instructions; a video data receiver to receive video raw data, the video raw data corresponding to an uploaded and transcoded video; a video improver to apply a video improvement technique to the received video raw data to produce a modified version of the video raw data; and a video quality assessor to compare the received video raw data and the modified version of the video raw data, and based on the modified version of the video raw data improving on a factor associated with the video improvement technique, the video quality assessor indicates a phenomenon affecting the quality of the uploaded and transcoded video.
Abstract:
A combined depth map is generated for a monoscopic image based on a weighted combination of a color depth map, a spatial depth map, and a motion depth map for the image, each describing the depth of pixels in the image relative to the image plane. The color depth map determines the depth of pixels according to their color, the spatial depth map determines the depth of pixels according to their location in the image, and the motion depth map determines the depth of pixels according to their motion in the image. Each of the depth maps is associated with a weight that is used to generate the weighted combination. The weights are adaptive to account for variation between different monoscopic images.
Abstract:
A two-dimensional image to be converted to a first three-dimensional image may be received. A second three-dimensional image that is visually similar to the two-dimensional image that is to be converted may be identified. A feature-to-depth mapping function may be computed for the first three-dimensional image by using an approximate depth map of the second three-dimensional image that is visually similar to the two-dimensional image that is to be converted. The feature-to-depth mapping function may be applied to a plurality of pixels of the two-dimensional image to determine a depth value for the plurality of pixels of the two-dimensional image. The first three-dimensional image may be generated based on the depth values for the plurality of pixels of the two-dimensional image.
Abstract:
A request to convert a two-dimensional image to a three-dimensional image may be received. A feature-to-depth mapping function associated with another three-dimensional image that shares a characteristic with the two-dimensional image that is to be converted to the three-dimensional image may be identified. A depth value for a plurality of pixels of the two-dimensional image may be determined based on the feature-to-depth mapping function associated with the other three-dimensional image. The three-dimensional image may be generated based on the depth value for the plurality of pixels of the two-dimensional image.
Abstract:
Embodiments for moving object detection in an image are disclosed. These include detecting a moving object in an input image by selecting video frames that are visually similar to the input image, generating a model motion image by estimating motion for each selected video frame, and detecting, using the model motion image, a moving object in the input image based on differences between the model motion image and the input image.