Abstract:
Techniques are disclosed for estimating quality of images in an automated fashion. According to these techniques, a source image may be downsampled to generate at least two downsampled images at different levels of downsampling. Blurriness of the images may be estimated starting with a most-heavily downsampled image. Blocks of a given image may be evaluated for blurriness and, when a block of a given image is estimated to be blurry, the block of the image and co-located blocks of higher resolution image(s) may be designated as blurry. Thereafter, a blurriness score may be calculated for the source image from the number of blocks of the source image designated as blurry.
Abstract:
A system for processing media on a resource restricted device, the system including a memory to store data representing media assets and associated descriptors, and program instructions representing an application and a media processing system, and a processor to execute the program instructions, wherein the program instructions represent the media processing system, in response to a call from an application defining a plurality of services to be performed on an asset, determine a tiered schedule of processing operations to be performed upon the asset based on a processing budget associated therewith, and iteratively execute the processing operations on a tier-by-tier basis, unless interrupted.
Abstract:
Techniques for cropping images containing an occlusion are presented. A method for image editing is presented comprising, when an occlusion is detected in an original digital image, determining an area occupied by the occlusion, assigning importance scores to different content elements of the original digital image, defining a cropping window around an area of the original digital image that does not include the area occupied by the occlusion and that is based on the importance scores, and cropping the original digital image to the cropping window.
Abstract:
In a video coding system, a common video sequence is coded multiple times to yield respective instances of coded video data. Each instance may be coded according to a set coding parameters derived from a target bit rate of a respective tier of service. Each tier may be coded according to a constraint that limits a maximum coding rate of the tier to be less than a target bit rate of another predetermined tier of service. Having been coded according to the constraint facilitates dynamic switching among tiers by a requesting client device processing resources or communication bandwidth changes. Improved coding systems to switch among different coding streams may increase quality of video streamed while minimizing transmission and storage size of such content.
Abstract:
Techniques are disclosed for estimating quality of images in an automated fashion. According to these techniques, a source image may be downsampled to generate at least two downsampled images at different levels of downsampling. Blurriness of the images may be estimated starting with a most-heavily downsampled image. Blocks of a given image may be evaluated for blurriness and, when a block of a given image is estimated to be blurry, the block of the image and co-located blocks of higher resolution image(s) may be designated as blurry. Thereafter, a blurriness score may be calculated for the source image from the number of blocks of the source image designated as blurry.
Abstract:
Methods for organizing media data by automatically segmenting media data into hierarchical layers of scenes are described. The media data may include metadata and content having still image, video or audio data. The metadata may be content-based (e.g., differences between neighboring frames, exposure data, key frame identification data, motion data, or face detection data) or non-content-based (e.g., exposure, focus, location, time) and used to prioritize and/or classify portions of video. The metadata may be generated at the time of image capture or during post-processing. Prioritization information, such as a score for various portions of the image data may be based on the metadata and/or image data. Classification information such as the type or quality of a scene may be determined based on the metadata and/or image data. The classification and prioritization information may be metadata and may be used to organize the media data.
Abstract:
A system for processing media on a resource restricted device, the system including a memory to store data representing media assets and associated descriptors, and program instructions representing an application and a media processing system, and a processor to execute the program instructions, wherein the program instructions represent the media processing system, in response to a call from an application defining a plurality of services to be performed on an asset, determine a tiered schedule of processing operations to be performed upon the asset based on a processing budget associated therewith, and iteratively execute the processing operations on a tier-by-tier basis, unless interrupted.
Abstract:
Video coding systems and methods protect against banding artifacts in decoded image content. According to the method, a video coder may identify, from content of pixel blocks of a frame of video data, which pixel blocks are likely to exhibit banding artifacts from the video coding/decoding processes. The video coder may assemble regions of the frame that are likely to exhibit banding artifacts based on the identified pixel blocks' locations with respect to each other. The video coder may apply anti-banding processing to pixel blocks within one or more of the identified regions and, thereafter, may code the processed frame by a compression operation.
Abstract:
A scalable coding system codes video as a base layer representation and an enhancement layer representation. A base layer coder may code an LDR representation of a source video. A predictor may predict an HDR representation of the source video from the coded base layer data. A comparator may generate prediction residuals which represent a difference between an HDR representation of the source video and the predicted HDR representation of the source video. A quantizer may quantize the residuals down to an LDR representation. An enhancement layer coder may code the LDR residuals. In other embodiments, the enhancement layer coder may code LDR-converted HDR video directly.
Abstract:
Systems and methods are provided for processing high quality video data, such as data having a higher than standard bit depth, a high dynamic range, or a wide or custom color gamut, to be compatible with conventional encoders and decoders without significant loss of quality. High quality data is encoded into a plurality of layers with a base layer having the standard quality data and one or more higher quality layers. Decoding systems and methods may map the base layer to the dynamic range or color gamut of the enhancement layer, combine the layers, and map the combined layers to a dynamic range or color gamut appropriate for the target display. Each of the standard quality and the high quality data may be encoded as a plurality of tiers of increasing quality and reference lower level tiers as sources of prediction during predictive coding.