Video super resolution method and system based on machine vision coding and decoding

A machine vision and super-resolution technology, applied in the video field, can solve problems such as the lack of VCM implementation, and achieve the effect of saving calculation and storage space

Active Publication Date: 2021-03-23
TENCENT AMERICA LLC
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  • Video super resolution method and system based on machine vision coding and decoding
  • Video super resolution method and system based on machine vision coding and decoding
  • Video super resolution method and system based on machine vision coding and decoding

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[0025] The technical solutions of the embodiments of the present disclosure are described below with reference to the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like components. Apparently, the described embodiments are only some embodiments of the present disclosure, but not all embodiments. Based on the embodiments in the present disclosure, other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present disclosure. Some terms used in this disclosure are first explained below.

[0026] Machine Vision Codecs (VCM): VCM refers to video codecs that consider machine vision, such as autonomous driving. The VCM standard refers to a set of rules, algorithms and protocols for different types of devices or devices from different providers to implement VCM video applications.

[0027] Internet of Things (IoT): An...

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Abstract

A video super resolution (SR) method based on video coding for machine (VCM) is provided for an electronic device. The method includes obtaining a lower resolution (LR) video; generating feature representations of the LR video based on a deep neural network (DNN); encoding the feature representations of the LR video, based on a VCM standard, and the LR video to form encoded feature representationsof the LR video and an encoded LR video, wherein the feature representations of the LR video contain both space and temporal information on the LR video for creating a high resolution (HR) video corresponding to the LR video; and storing and transferring the encoded feature representations of the LR video and an encoded LR video for decoding.

Description

[0001] priority information [0002] This application claims priority to U.S. Provisional Application No. 62 / 904,647, filed September 23, 2019, and U.S. Application No. 17 / 023,055, filed September 16, 2020, all of which The contents are incorporated into this application by reference. technical field [0003] The present application relates to the field of video technology, and more specifically, to a video super-resolution (SR) method, device, system, and storage medium based on machine vision codec (VCM). Background technique [0004] The International Organization for Standardization (ISO) / International Electrotechnical Commission (IEC) Moving Picture Experts Group (MPEG) (JTC 1 / SC29 / WG 11) has been actively addressing the potential need for standardization of video codec technology for visual analysis and understanding. ISO adopted the Compact Visual Search Descriptor (CDVS) ​​standard for still images in 2015, which extracts feature representations for image similarit...

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Application Information

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IPC IPC(8): H04N21/2343H04N21/4402G06T5/50
CPCH04N21/2343H04N21/4402G06T5/50G06T3/4053G06T3/4046G06V10/454G06V10/82G06N3/045G06T2207/10016G06N3/04G06F18/25
Inventor 蒋薇王炜刘杉
Owner TENCENT AMERICA LLC
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