Abstract:
Methods, systems, and computer program products for the generation of multiple layers of scaled encoded video data compatible with the HEVC standard. Residue from prediction processing may be transformed into coefficients in the frequency domain. The coefficients may then be sampled to create a layer of encoded data. The coefficients may be sampled in different ways to create multiple respective layers. The layers may then be multiplexed and sent to a decoder. There, one or more of the layers may be chosen. The choice of certain layer(s) may be dependent on the desired attributes of the resulting video. A certain level of video quality, frame rate, resolution, and/or bit depth may be desired, for example. The coefficients in the chosen layers may then be assembled to create a version of the residue to be used in video decoding.
Abstract:
A video encoder may use an adaptive Wiener filter inside the core video encoding loop to improve coding efficiency. In one embodiment, the Wiener filter may be on the input to a motion estimation unit and, in another embodiment, it may be on the output of a motion compensation unit. The taps for the Wiener filter may be determined based on characteristics of at least a region of pixel intensities within a picture. Thus, the filtering may be adaptive in that it varies based on the type of video being processed.
Abstract:
Methods, systems and computer program products to increase the efficiency of a trancoding system by providing additional data from a video processor to an encoder, and by providing control signals from the encoder back to the video processor. The video processor may provide variances to the encoder, where these values would not otherwise be available to the encoder or would be computationally intensive for the encoder to generate on its own. The encoder may then use these variances to generate encoded, compressed video data more efficiently. The encoder may also generate control signals for use by the video processor, enabling the video processor to adapt to reconfigurations of the encoder, thereby improving the efficiency of the transcoding operation.
Abstract:
Implementations of a history-based temporal motion noise filtering technique that considers the temporal smooth among multiple pictures as well as the block-based technique to estimate the noise/motion history to better reflect the spatial/temporal smoothness in the local neighborhood are provided. In particular, implementations of the per-pixel blending technique in the block-based noise measurement may be used to better manipulate pixels in both the spatial and temporal domains. A global noise detection technique may be used to estimate the occurrence and/or strength of the noise. A content adaptive spatial filtering content adaptive spatial filter based on a local edge measurement may be used to reduce picture noise as well as preserve edge sharpness. Implementations may be configured for various applications. In particular, programmability options allow users to specify the filter parameters for singularity detection, spatial-only, temporal-only and spatial-temporal filters to achieve user desirable viewing experience.
Abstract:
Adaptive filtering may be used to increase the quality of tone mapped, baseline layer encoded information. As a result, scalable video codecs may be implemented with improved picture quality in some embodiments.
Abstract:
A technique includes converting a first value for a pixel that is associated with a lower bit depth into a second value for the pixel, which is associated with a higher bit depth based at least in part on a neighborhood of the pixel.
Abstract:
A video encoder may use an adaptive Wiener filter inside the core video encoding loop to improve coding efficiency. In one embodiment, the Wiener filter may be on the input to a motion estimation unit and, in another embodiment, it may be on the output of a motion compensation unit. The taps for the Wiener filter may be determined based on characteristics of at least a region of pixel intensities within a picture. Thus, the filtering may be adaptive in that it varies based on the type of video being processed.
Abstract:
System, method, and computer program product to adaptively blend the interpolation results from an 8-tap Lanczos filter and the interpolation results from a bilinear filter, according to the local transitions of the input content. Artifacts may occur, which may be identified as such and corrected. Pixels that represent artifacts in the blended image may be replaced with the pixel for that location taken from the bilinear interpolation.
Abstract:
According to one embodiment, a method is disclosed. The method includes performing a local content analysis on video data to classify pixels into singular pixels, motion pixels and static pixels.
Abstract:
According to one embodiment, a method is disclosed. The method includes receiving video data performing pre-filtering on the data, performing content analysis is applied to identify an area of the data, applying a two-dimensional (2-D) 2nd gradient operation to extract a high frequency component and normalizing the high frequency component related to high frequency information from a previous picture.