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Title:
FEATURE ENCODING/DECODING METHOD AND APPARATUS, AND RECORDING MEDIUM IN WHICH BITSTREAM IS STORED
Document Type and Number:
WIPO Patent Application WO/2023/172090
Kind Code:
A1
Abstract:
Provided are a feature encoding/decoding method and apparatus, and a computer-readable recording medium generated by the feature encoding method. The feature decoding method according to the present disclosure is the feature decoding method performed by the feature decoding apparatus, and comprises the steps of: determining whether a prediction mode of the present feature channel is a channel skip mode, on the basis of first information obtained from a bitstream; and predicting the present feature channel by referring to a reference feature channel in a reference feature map, on the basis that the prediction mode of the present feature channel is the channel skip mode, wherein the channel skip mode is a mode in which residual information and motion information for a feature channel are not encoded.

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Inventors:
KIM CHULKEUN (KR)
LIM JAEHYUN (KR)
GWAK DONGGYU (KR)
Application Number:
PCT/KR2023/003248
Publication Date:
September 14, 2023
Filing Date:
March 09, 2023
Export Citation:
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Assignee:
LG ELECTRONICS INC (KR)
International Classes:
H04N19/507; H04N19/119; H04N19/137; H04N19/157; H04N19/184; H04N19/186; H04N19/44; H04N19/60
Domestic Patent References:
WO2021177652A12021-09-10
WO2021205065A12021-10-14
WO2020055279A12020-03-19
Foreign References:
KR20210054011A2021-05-12
Other References:
WANG DEZHAO; YANG WENHAN; HU YUEYU; LIU JIAYING: "Neural Data-Dependent Transform for Learned Image Compression", 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 18 June 2022 (2022-06-18), pages 17358 - 17367, XP034193383, DOI: 10.1109/CVPR52688.2022.01686
Attorney, Agent or Firm:
SUNG, Byung Kee (KR)
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