Adaptive group of pictures (AGOP) structure determination

A picture, picture type technology, applied in the direction of image communication, TV, electrical components, etc., can solve the problem of inaccurate effective compression and so on

Inactive Publication Date: 2010-12-22
QUALCOMM INC
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Problems solved by technology

However, existing AGOP structure determination methods may not be accurate enough to achieve th

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  • Adaptive group of pictures (AGOP) structure determination
  • Adaptive group of pictures (AGOP) structure determination
  • Adaptive group of pictures (AGOP) structure determination

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Embodiment Construction

[0040] This disclosure describes techniques for determining a picture type for each of multiple frames included in a video sequence based on a cross-correlation between the frames. The cross-correlation includes a first-order cross-correlation between several pairs of image information in a frame included in the video sequence and a second-order cross-correlation between several pairs of the first-order cross-correlation. The first order cross-correlations can be analyzed to detect video transition effects between the frames, such as cut scene changes, flash frames, crossfades, and camera pans and rolls. The first order cross-correlations and the second order cross-correlations may be analyzed comparatively to determine temporal similarity between the frames. Accordingly, the correlation-based determination technique determines the picture type of the frame based on the video transition effect and the temporal similarity. The correlation-based determination technique may comp...

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Abstract

This disclosure is directed to techniques for determining a picture type for each of a plurality of frames included in a video sequence based on cross-correlations between the frames. The cross-correlations include first order cross-correlations between image information within pairs of frames included in the video sequence and second order cross-correlations between pairs of the first order cross-correlations. The first order cross-correlations may be analyzed to detect video transitional effects between the frames. The first and second order cross-correlations may be comparatively analyzed to determine temporal similarities between the frames. Therefore, the correlation-based determination techniques determine picture types for the frames based on the video transitional effects and the temporal similarities. The correlation-based determination techniques may calculate the first order cross-correlations between images within pairs of frames, or between sets of subimages within pairs of frames that are then averaged over the subimages for each of the pairs of frames.

Description

technical field [0001] The present invention relates to encoding of video data, and more particularly to adaptively determining the group of pictures (GOP) structure of video data. Background technique [0002] Several different video encoding standards have been established for encoding digital video sequences. For example, the Moving Pictures Experts Group (MPEG) has developed several standards, including MPEG-1 (Part 2), MPEG-2 (Part 2), and MPEG-4 (Part 2). Other examples include the International Telecommunication Union (ITU-T) H.261 and H.263 standards and the ITU- T H.264 standard. These video coding standards generally support improved transmission and storage efficiency of video sequences by encoding the data in a compressed manner. Compression reduces the amount of data that needs to be transmitted or stored for efficient transmission or storage of video frames. In many situations (including video streaming, video camcorders, personal video recorders (PVR), dig...

Claims

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Application Information

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IPC IPC(8): H04N7/26
CPCH04N19/00781H04N19/00163H04N19/00921H04N19/00284H04N19/00472H04N19/00054H04N19/40H04N19/114H04N19/142H04N19/177H04N19/61H04N19/87
Inventor 史考特·T·斯瓦泽伊塞伊富拉·哈利特·奥古兹阿密特·罗哈吉
Owner QUALCOMM INC
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