JP2008503919A5

JP2008503919A5 -

Info

Publication number: JP2008503919A5
Application number: JP2007516535A
Authority: JP
Filing date: 2005-06-06
Publication date: 2008-07-10

Claims

An encoder that encodes video signal data corresponding to a plurality of pictures,
Performing video analysis of the video signal data using a plurality of overlap analysis windows for at least some of the plurality of pictures corresponding to the video signal data, and encoding the video signal data based on the result of the video analysis The encoder comprising an overlapping window analysis unit for parameter adaptation.

The encoder of claim 1, wherein the overlap window analysis unit performs the video analysis of the video signal data using spatio-temporal analysis.

The overlapping window analysis unit is adapted to analyze at least one of picture coding type information, edge information, average information and variance information in spatiotemporal analysis, adaptation of Lagrangian parameters and quantization parameters, and dead zone processing. The encoder according to claim 2, used for at least one of the following.

The encoder according to claim 3, wherein the overlap window analysis unit adapts the quantization parameter using absolute difference and variance.

The encoder of claim 1, wherein the overlap window analysis unit performs the video analysis of the video signal data using a pre-encoding pass.

The encoder of claim 1, wherein the overlap window analysis unit performs the video analysis of the video signal data using both a spatio-temporal analysis and a pre-encoding pass.

The overlapping window analysis unit is adapted to analyze at least one of picture coding type information, edge information, average information and variance information in spatiotemporal analysis, adaptation of Lagrangian parameters and quantization parameters, and dead zone processing. The encoder according to claim 6, used for at least one of the following.

The encoder according to claim 7, wherein the overlap window analysis unit performs quantization parameter adaptation using absolute difference and variance.

The video signal data includes a plurality of frames, each of the plurality of frames representing a corresponding picture, and the duplicate analysis unit performs the video analysis so as to consider only previously encoded pictures. The encoder according to item 1.

The coding parameters include slice type, picture and GOP coding structure and order, weighted parameters, quantized values and dead zone processing, Lagrange parameters, reference number, reference order and handling, frame / field The encoder of claim 1, comprising at least one of picture and macroblock parameters, deblocking parameters, inter block size, intra spatial prediction, and direct mode.

The overlap window analysis unit performs the video analysis in multiple iterations and adapts one of the encoding parameters and analysis statistics based on previously generated analysis statistics. Encoder.

Each of the overlapping windows has a window size of P pictures and an associated overlapping size, and the overlapping window analysis unit is configured to determine the window size and the window size based on previously generated analysis statistics. The encoder according to claim 1, wherein the overlap size is adapted.

A method for encoding video signal data corresponding to a plurality of pictures, comprising:
Performing a video analysis of the video signal data using a plurality of overlapping analysis windows with respect to at least a portion of said plurality of pictures corresponding to the video signal data,
And performing adaptation of the encoding parameters of the video signal data based on a result of the video analysis,
Said method.

The method of claim 13, wherein the performing step performs the video analysis of the video signal data using spatio-temporal analysis.

In the execution step and the adaptation step, respectively, at least one of picture coding type information, edge information, average information and variance information is applied to spatiotemporal analysis, adaptation of Lagrangian parameters and quantization parameters, and The method of claim 14 for use in at least one of dead zone processing.

The method of claim 15, wherein the quantization parameter adaptation is performed using absolute difference and variance.

The method of claim 13, wherein the performing step performs the video analysis of the video signal data using a pre-encoding pass.

14. The method of claim 13, wherein the performing step performs the video analysis of the video signal data using both a spatiotemporal analysis and a pre-encoding pass.

The executing step and the adapting step each of at least one of picture coding type information, edge information, average information and variance information, spatio-temporal analysis, adaptation of Lagrangian parameters and quantization parameters, and The method of claim 18 for use in at least one of dead zone processing.

The method of claim 19, wherein the quantization parameter adaptation is performed using absolute difference and variance.

The video signal data includes a plurality of frames, each of the plurality of frames representing a corresponding picture, and the performing step performs the video analysis to consider only previously encoded pictures. 14. The method according to 13.

The coding parameters include slice type, picture and GOP coding structure and order, weighted parameters, quantized values and dead zone processing, Lagrange parameters, reference number, reference order and handling, frame / field 14. The method of claim 13, comprising at least one of picture and macroblock parameters, deblocking parameters, inter block size, intra spatial prediction, and direct mode.

Performing the video analysis in a plurality of iterations in the execution step, and adapting one of the encoding parameters and the analysis statistics based on the previously generated analysis statistics in the adaptation step. Item 14. The method according to Item 13.

Each of the overlapping windows has a window size and an associated overlapping size, and the executing step adapts the window size and the overlapping size based on previously generated analysis statistics 14. The method of claim 13, comprising: