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Image rapid movement estimation method based on self-adaptive mechanism

A fast-moving, self-adaptive technology, applied in image communication, television, electrical components, etc., can solve problems such as negative motion estimation and poor consistency of motion vectors

Inactive Publication Date: 2012-07-11
XIAN UNIV OF TECH
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Problems solved by technology

But for the 'Bus' sequence, because the consistency of the motion vectors in the entire motion vector field is very poor, the estimation accuracy of the PMVFAST method is inferior to that of the DS method, which shows that for more complex motion sequences, the automatic Adaptive search mode has a negative effect on motion estimation

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  • Image rapid movement estimation method based on self-adaptive mechanism
  • Image rapid movement estimation method based on self-adaptive mechanism
  • Image rapid movement estimation method based on self-adaptive mechanism

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Embodiment Construction

[0065] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0066] The image fast motion estimation method based on adaptive mechanism of the present invention can analyze motion vector field by three aspects, comprise: between two continuous motion vector fields, the analysis of motion vector change degree (MVVD); Vector field Among them, the analysis of the degree of motion similarity (LMSD) in the local area; the analysis of the relationship between the degree of change of the motion vector and the degree of motion similarity in the local area.

[0067] 1. Analysis of the degree of motion vector change

[0068] In general, video sequences have strong temporal correlation, such as image 3 As shown, it is obvious that the change of two continuous motion vector fields is very small, and the degree of change of the motion vector of the two continuous motion vector fields will be analyzed below, and t...

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Abstract

The invention discloses an image rapid movement estimation method based on a self-adaptive mechanism, which is implemented as following steps: step 1, classifying movement vectors; step 2, counting coefficients a and b in a formula; step 3, selecting a search manner, and adopting a SDSP (Small Diamond Search Pattern) and a SSP (Square Search Pattern) which are parallel in preference relation; and step 4, estimating the rapid movement. According to the image rapid movement estimation method provided by the invention, the self-adaptive search selection is performed according to the local variation degree of the movement vectors; based on the relation between the LMSD and the MVVD, the LMSD is adopted to classify the movement vectors; and according to the experimental result on an MPEG-4 check platform, compared with other algorithms, the algorithm in the invention has improved movement estimation speed, similar or better performance, and favorable effectiveness and practicability.

Description

technical field [0001] The invention belongs to the technical field of image compression, and in particular relates to an image fast motion estimation method based on an adaptive mechanism. Background technique [0002] Motion estimation is a very important link in the process of video compression coding. Its function is to provide the motion vector required for inter-frame coding. Inter-frame coding greatly reduces the information redundancy between video frames by encoding the motion vector. A large number of data tests show that the computational load of motion estimation is very large, so finding an effective and fast motion estimation method has become an important part of video coding research. [0003] The existing fast motion estimation methods design different search modes in order to reduce the number of search points. In recent years, prediction-based adaptive search methods have emerged, two typical methods include motion vector field adaptive search method (MVFA...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/513H04N19/57
Inventor 刘龙康小龙赵晶
Owner XIAN UNIV OF TECH
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