Image encoding / decoding method using template matching, method for transmitting bit stream, and recording medium having bit stream stored therein

By constructing a generalized merging candidate list using template matching technology, the problem of low encoding/decoding efficiency for high-resolution and high-quality images is solved, enabling more efficient image transmission and storage.

CN121002877APending Publication Date: 2025-11-21LG ELECTRONICS INC
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Patent Information

Application Number
CN202480027646.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-06-30
Filing Date
2024-04-25
Publication Date
2025-11-21

AI Technical Summary

Technical Problem

Existing technologies suffer from low encoding/decoding efficiency and high transmission and storage costs in the encoding and decoding of high-resolution and high-quality images.

Method used

A generalized merging candidate list is constructed using template matching technology. Prediction blocks are generated through template matching, and motion information is exported during inter-frame prediction to generate a composite merging candidate list, thereby reducing bit requirements.

Benefits of technology

It improves the efficiency of image encoding/decoding, reduces the amount of data in the bitstream, and lowers transmission and storage costs.

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Abstract

An image encoding / decoding method, a method for transmitting a bitstream, and a computer-readable recording medium for storing the bitstream are provided. An image decoding method according to the present disclosure, which is an image decoding method performed by an image decoding apparatus, may comprise the steps of: determining a prediction mode of a current block; generating an inter prediction block of the current block based on the prediction mode of the current block being an inter prediction mode; and restoring the current block on the basis of an inter prediction block which is generated on the basis of the prediction candidates of the prediction candidate list, and the prediction candidate list includes two or more prediction candidates from among a merge prediction candidate, a merge (MMVD) prediction candidate with a motion vector difference, a combined inter-intra prediction (CIIP), a multi-hypothesis prediction, an affine merge, a sub-block based temporal motion vector prediction (SbTMVP), or a geometric partition mode (GPM) merge prediction candidate.
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