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 system, apparatus, method, and article to process a chroma motion vector are described. The apparatus may include a video decoder. The video decoder includes a processor to receive a compressed video bitstream. The compressed video bitstream includes a stream of pictures. The stream of pictures includes a current slice and a current block within the slice. The processor pre-computes a chroma motion vector adjustment parameter for the current slice and determines a motion vector component for the current block within the current slice using the pre-computed chroma motion vector adjustment parameter.
Abstract:
Adaptive control can use hierarchical motion estimation (HME) and/or multiple reference motion estimation (MRME) for the motion estimation of current encoding blocks. Both HME and MRME are allowed in the motion estimation to achieve a high coding gain. Control consists of slice level control and macro-block (MB) level control. A slice is one or more contiguous macroblocks. In slice level control, it is decided to use only one reference frame or use multiple reference frames to coding current slice based on the motion vectors obtained in coarse level motion estimation. In MB level control, it is decided to perform MRME or perform HME for the MB and its subblocks based on the coarse level motion vectors of the MB.
Abstract:
A system and method for performing candidate-based decoder-side motion vector determination (DMVD). Candidate motion vectors (MVs) may be rounded to the nearest whole or integer pixel. The rounded candidate MV having the best sum of absolute differences (SAD) may be identified. This may be used as the final MV. Alternatively, the un-rounded MV corresponding to this rounded candidate MV may be used as the final MV. Alternatively, a small range integer search may be performed around the chosen rounded candidate MV, and the best integer pixel in the search area may be identified and used to define the final MV. Alternatively, an intermediate MV may be chosen, where this MV is intermediate between the chosen rounded candidate MV and the MV corresponding to the best integer pixel in the search area.
Abstract:
In one embodiment, an apparatus and method for an angular-directed spatial deinterlacer are disclosed. In one embodiment, the method comprises calculating a cost measure for each of multiple angle candidates for a target pixel block to be deinterlaced in a spatial-only domain, determining a horizontal angle measure for the target pixel block, establishing a global minimum angle from the multiple angle candidates by determining the lowest cost measure from the multiple angle candidates, establishing a local minimum angle from the multiple angle candidates by sifting through the angle candidates in a hierarchical manner, and filtering the global minimum angle and the local minimum angle to create a value for interpolating the target pixel block for deinterlacing. Other embodiments are also described.
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 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.
Abstract:
A video system includes an analyzer and a bit depth predictor. The analyzer receives a first coded video signal, which is indicative of first values for pixels. The first values are associated with a first bit depth. The analyzer, for each pixel, analyzes the first values for the pixels located in a neighborhood that contains said each pixel. The bit depth predictor, based at least in part on the analysis, generates a second coded video signal that is indicative of second values for the pixels. The second values are associated with a second bit depth that is different than the first bit depth.
Abstract:
According to one embodiment, a method is disclosed. The method includes receiving video data, measuring a temporal feature of motion movement of the data, measuring per-pixel spatial content features of the data, performing a local content analysis to classify pixels; and performing noise reduction filtering on the pixels.