Multimedia device and mobile estimation method thereof

Abstract

The invention discloses a multimedia device and a mobile estimation method thereof. The mobile estimation method is used for generating a motion vector of a picture to be written between two continuous reference pictures. The method comprises a plurality of steps of: obtaining a candidate motion vector according to the position of a block to be written of the picture to be written; obtaining two first reference blocks which are obtained by extending to two reference pictures respectively from the block to be written according to the candidate motion vector; obtaining two second reference blocks which are obtained by extending to the other reference picture from one of the two reference pictures according to the candidate motion vector; judging whether the candidate motion vector is valid according to the position of the two reference blocks obtained from all the steps for obtaining the reference blocks; and determining the motion vector corresponding to the block to be written according to the judged valid candidate motion vector.

Description

technical field [0001] The present invention relates to an electronic device and its control method, and in particular to a multimedia device and its motion compensation method. Background technique [0002] In recent years, more and more researches focus on the field of Motion Estimation / Motion Compensation (or ME / MC for short) in response to the demands of LCD TVs. Motion estimation / motion compensation is an algorithmic technique that is often applied in video coding to achieve video compression. [0003] In general, motion estimation refers to a method of determining motion vectors from neighboring frames. The so-called motion vector is used to represent the conversion relationship between one frame and another frame. The motion vector can be related to the whole frame, such as global motion estimation, or to a part of the frame, such as a rectangular block or other shaped area. Alternatively, motion vectors can also be associated with each pixel. In addition, the met...

AI Technical Summary

Problems solved by technology

[0005] However, for blocks near the effective range of the frame, such blocks often have motion vector estimation problems

For example, when an object moves at the edge of the screen, for example, when the object enters the screen range from outside the screen range, or leaves the screen range, it is impossible to find the position of the object in the continuous screen

In this way, a suitable motion vector cannot be generated, and the accuracy of estimation is reduced, thereby affecting the quality of image interpolation

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