Method for motion estimation of video sequences based on block matching under different resolutions

A technology for video sequence and motion estimation, which is applied in the field of image processing and can solve the problem of lack of comparison of motion estimation accuracy.

Active Publication Date: 2015-04-08
SHENZHEN JIANGJI IND
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the block matching algorithm has been widely used, the existing motion estimation methods are usually for the purpose of saving search time and improving search accuracy. In addition, the existing motion estimation methods only compare a single resolution, There is a lack of comparison of motion estimation accuracy at different resolutions, therefore, the differences in motion estimation properties exhibited at different res...

Method used

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  • Method for motion estimation of video sequences based on block matching under different resolutions
  • Method for motion estimation of video sequences based on block matching under different resolutions
  • Method for motion estimation of video sequences based on block matching under different resolutions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0104] Embodiment 1: Video surveillance, video conferencing, etc. need to work at low resolution due to bandwidth limitations. Especially for video sequences with small motion ranges such as video conferencing, when the resolution is QCIF (176×144), the accuracy nearly equal to FS can be obtained by applying TSS or NTSS method.

Embodiment 2

[0105] Embodiment 2: Today's algorithms commonly use TSS to apply fast motion estimation. In fact, operations such as compression of fast motion sequences in QCIF format can apply the NTSS algorithm (because TSS is theoretically selected) to obtain higher PSNR and speed than TSS .

Embodiment 3

[0106] Embodiment 3: When motion estimation is performed on a video sequence with high resolution and fine picture quality, it is not necessary to use TSS (low resolution can be used). Because in high-resolution and fine-quality video sequences, reconstructed images tend to lose information, but low-resolution images do not lose information.

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Abstract

The invention relates to a method for motion estimation of video sequences based on block matching under different resolutions. According to the comparison under a single resolution, the method is utilized to perform the motion estimation performance comparison of an international standard video sequence under two resolutions at a quick speed, a medium speed and a slow speed on the basis of three classical algorithms including full search, three-step search and new three-step search and the traditional matching law SAD, namely the search block number, search time, peak signal to noise ratio (PSNR) and reconstruction images are compared. The important conclusion of the method is that video sequences at a medium speed and a slow speed have a good performance under low resolutions; on the contrary, quick video sequences have good motion estimation effect under the high resolution. The conclusion obtained through the method overcomes the shortcomings of motion estimation under the different resolutions, more suitable searching methods for video sequences of different characteristics under the different resolutions are achieved, and the result of the method can further be applied to the aspects of object identification, motion tracking and video compression.

Description

technical field [0001] The invention relates to the technical field of image processing, and relates to a motion estimation method of video sequences under different resolutions based on block matching. Background technique [0002] With the rapid development of society, multimedia technology has enriched people's life. Video images are developing rapidly in people's lives, for example: network videophone, digital TV and so on. However, the large amount of information contained in video images requires high bandwidth for transmission. In order to solve this problem, "video compression technology" can improve transmission efficiency under limited bandwidth, so it is necessary to reduce video time redundancy. In video compression, block matching motion estimation is a method commonly used to reduce video redundancy. In fact, the calculation amount of motion estimation is more than 50% of the total compression calculation amount, which means that the quality of motion estima...

Claims

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Application Information

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IPC IPC(8): H04N19/533H04N19/57H04N19/176
Inventor 王乙童徐泰
Owner SHENZHEN JIANGJI IND
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