Abstract:
Systems and methods are disclosed that capture and compress frames of pixel data. In an implementation, an image sensor chip is configured to convert light into pixel data and generate compressed pixel data at a variable compression rate including applying a transform to pixel data associated with a pixel category from a plurality of pixel categories. The variable compression rate is within an available bandwidth of an output bus configured to output the compressed pixel data.
Abstract:
Systems and methods are disclosed that capture and compress frames of pixel data. In an implementation, an image sensor chip is configured to convert light into pixel data and generate compressed pixel data at a variable compression rate including applying a transform to pixel data associated with a pixel category from a plurality of pixel categories. The variable compression rate is within an available bandwidth of an output bus configured to output the compressed pixel data.
Abstract:
Systems and methods are disclosed that capture and compress frames of pixel data. In an implementation, an image sensor chip is configured to convert light into pixel data and generate compressed pixel data at a variable compression rate including applying a transform to pixel data associated with a pixel category from a plurality of pixel categories. The variable compression rate is within an available bandwidth of an output bus configured to output the compressed pixel data.
Abstract:
A system and method disposed to enable encoding, decoding and manipulation of digital video with substantially less processing load than would otherwise required. In particular, one disclosed method is directed to generating a compressed video data structure that is selectively decodable to a plurality of resolutions including the full resolution of the uncompressed stream. The desired number of data components and the content of the data components that make up the compressed video data, which determine the available video resolutions, are variable based upon the processing carried out and the resources available to decode and process the data components. During decoding, efficiency is substantially improved because only the data components necessary to generate a desired resolution are decoded. In variations, both temporal and spatial decoding are utilized to reduce frame rates, and hence, further reduce processor load. The system and method are particularly useful for real-time video editing applications.
Abstract:
A system and method disposed to enable encoding, decoding and manipulation of digital video with substantially less processing load than would otherwise be required. In particular, one disclosed method is directed to generating a compressed video data structure that is selectively decodable to a plurality of resolutions including the full resolution of the uncompressed stream. The desired number of data components and the content of the data components that make up the compressed video data, which determine the available video resolutions, are variable based upon the processing carried out and the resources available to decode and process the data components. During decoding, efficiency is substantially improved because only the data components necessary to generate a desired resolution are decoded. In variations, both temporal and spatial decoding are utilized to reduce frame rates, and hence, further reduce processor load. The system and method are particularly useful for real-time video editing applications.
Abstract:
A system and method disposed to enable encoding, decoding and manipulation of digital video with substantially less processing load than would otherwise required. In particular, one disclosed method is directed to generating a compressed video data structure that is selectively decodable to a plurality of resolutions including the full resolution of the uncompressed stream. The desired number of data components and the content of the data components that make up the compressed video data, which determine the available video resolutions, are variable based upon the processing carried out and the resources available to decode and process the data components. During decoding, efficiency is substantially improved because only the data components necessary to generate a desired resolution are decoded. In variations, both temporal and spatial decoding are utilized to reduce frame rates, and hence, further reduce processor load. The system and method are particularly useful for real-time video editing applications.
Abstract:
Systems and methods are disclosed that capture and compress frames of pixel data. In an implementation, an image sensor chip converts light into pixel data and generates transform data by applying a transform to a portion of the pixel data associated with a pixel category from a plurality of pixel categories and generates compressed pixel data at a variable compression rate by compressing the transform data. The variable compression rate is within an available bandwidth of an output bus that outputs the compressed pixel data.
Abstract:
A system and method disposed to enable encoding, decoding and manipulation of digital video with substantially less processing load than would otherwise required. In particular, one disclosed method is directed to generating a compressed video data structure that is selectively decodable to a plurality of resolutions including the full resolution of the uncompressed stream. The desired number of data components and the content of the data components that make up the compressed video data, which determine the available video resolutions, are variable based upon the processing carried out and the resources available to decode and process the data components. During decoding, efficiency is substantially improved because only the data components necessary to generate a desired resolution are decoded. In variations, both temporal and spatial decoding are utilized to reduce frame rates, and hence, further reduce processor load. The system and method are particularly useful for real-time video editing applications.
Abstract:
A system and method disposed to enable encoding, decoding and manipulation of digital video with substantially less processing load than would otherwise required. In particular, one disclosed method is directed to generating a compressed video data structure that is selectively decodable to a plurality of resolutions including the full resolution of the uncompressed stream. The desired number of data components and the content of the data components that make up the compressed video data, which determine the available video resolutions, are variable based upon the processing carried out and the resources available to decode and process the data components. During decoding, efficiency is substantially improved because only the data components necessary to generate a desired resolution are decoded. In variations, both temporal and spatial decoding are utilized to reduce frame rates, and hence, further reduce processor load. The system and method are particularly useful for real-time video editing applications.
Abstract:
An image sensor compresses image data prior to transmitting the image data to a DSP. The image sensor captures light representing an image, for instance via a camera's aperture. A focal plane array converts the captured light into pixel data. The pixel data is sorted into categories, and is compressed in parallel by a compression engine. The compressed pixel data is then sent to a DSP, which may be located off-chip. The DSP then decompresses the compressed pixel data, performs image signal processing operations on the compressed pixel data, and then compresses the processed pixel data into a digital image format. The image sensor may buffer the pixel data for one or more images to accommodate for slowdown by the compression engine. The pixel data may be sorted by row and column of a pixel array. Alternatively, the pixel data may be sorted by color from a Bayer color filter.