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AI Vision Research

AI-based media processing research

We conduct research on the visual intelligence of computers,
training them to extract, understand, analyze various information
from images and videos to identify and solve problems.

Face Swap

Transcending the limits of content creation. We lead the innovation in the content creation environment with the generative adversarial neural network (GAN)-based media processing technology.

Face Swap Process

Face Swap Process

Face Generation

The person in your imagination becomes a reality. Using a huge dataset of images of various people, AI can generate photorealistic images of people that do not exist in real life.

Face Generation Process

Face Generation Process

Image Inpainting

Magically remove any unwanted objects! High-quality results can be achieved in a short time by automatically removing undesired objects from high-resolution images and videos and restoring the images and videos seamlessly.

Image inpainting Process

Image inpainting Process

Video Abstraction

Fast and smart video clip creation. Face and object detection, sentiment analysis, and audio signal analysis are applied to various video content, such as broadcasts, live commerce, and sports broadcasts, to automatically summarize videos.

Video abstraction Process

Video abstraction Process

Style Transfer

From morning to night, summer to winter, real life to animation, AI technology makes it possible to build an environment without the constraints of location by converting the time of day, season, and features in the original video and image.

Style Transfer Process

Style Transfer  Process

Anomaly Detection

Preemptively resolving potential issues before they become real issues. With the vision AI-based anomaly detection technology, defects in the production process and labeling errors can be detected and preemptively resolved.

Anomaly Detection Process

Anomaly Detection Process

Vision AI has a wide variety of uses.

Face Swap,
Face Aging/De-Aging

The GAN-based face synthesis technology increases the liberty of content creation, reduces costs, while facilitating viewer immersion and delivering stronger emotions. The technology that modifies or removes a specific person appearing in an existing video enables a quick and efficient response to a social controversy.

  • Face swap: The face of a specific person in the video can be replaced with the face of another person.
  • Face aging/de-aging: The age of a person in the video can be freely modified.
  • Social influencer controversy management: A video that contains a person involved in a social controversy can be automatically edited using an AI model.
Face Swap, Face Aging/De-Aging Face Swap, Face Aging/De-Aging

Virtual Influencer

Create your own virtual influencer with a realistic personality that has never existed before. Using a face generation technology, you can turn a person in your imagination into a virtual influencer of any race, gender, and style.

Object Eraser

When editing to remove trademarks or signboards in a video, you can reduce both the production time and cost by using an automated AI model. Objects such as logos and signboards that should not be exposed in commercial broadcasting are automatically detected and removed, and the removed parts are reconstructed to fit into the surrounding environment to create a high-quality video.

AI 비전 리서치 기술 AI 비전 리서치 기술

Media content preview and automatic creation of key video clips

Create video clips that can satisfy your clients based on image, audio and sentiment analysis. The key video clips are automatically summarized and created by analyzing the positivity of the person's speech in the video, object sections, object identification, banner clicks, and chat data.

라이브커머스

Smart factory

Producing smart products with a smart factory The AI defect detection model incorporated in the smart factory detects and visualizes the locations of defects to automatically classify defective products and improve the defect rate.

스마트팩토리

Research
papers

  • Nakyung Lee et al., 2021, "A Body Shape Change Visual Tracking Service Using Deep Learning-Based Human Part Segmentation," 2021 Fall Conference of the Korea Society of IT Services 

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  • Jungsu Hwang et al., 2021, "Live-Commerce Video Summarization Using Analysis of Multimodal Information Based on Deep Learning," the Journal of Digital Contents Society

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Patent
applications

  • 10-2021-0180046 Method and Apparatus for Automatic Digital Video Creation Based on Artificial Intelligence, application
  • 10-2021-0179899 Method for Removing Objects in an Image Using Deep Learning and Arithmetic Apparatus Therefor, application
  • 10-2021-0145232 Method for Providing a Face Synthesis Service and Apparatus Therefor, application
  • 10-2021-0122899 Method for Generating a Summary Video Based on Multimodal Analysis and Arithmetic Apparatus Therefor, application
  • 10-2020-0166824 Deep Learning-Based Optical Character Reading Method for Product Information Recognition and System Therefor, application
  • 10-2020-0162053 Deep Learning-Based Image Analysis Method for Product Defect Screening and System Therefor, application
  • 10-2020-0121382 Pre-Visualization System and Pre-Video Production Method Based on Reinforcement Learning, application
  • 10-2020-0152741 Method for Providing a Virtual Fitting Service and System Therefor, application
  • 10-2283191 Food Advertisement Image Inspection Method and Server, registration
  • 10-2218095 Augmented Reality Implementation Method Using Facial and Planar Object Recognition, registration
  • 10-2264744 Method for Processing Video Data and a Computer-Readable Recording Medium Storing Commands for Executing the Same, registration
  • 10-2919-0082040 Indoor Autonomous Driving System for Transport Robots, registration
  • 10-2918-0125870 Humanoid Robot Development Framework System, application
  • 10-2918-0123398 Indoor Positioning System for Transport Robots, registration
  • 10-2071882 Smart Glasses and Method for Providing Subtitles Using the Same, registration

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Consent to the Collection and Use of Personal Information (Required)

1. Purpose: Provision of responses for customer inquiries and management of inquiry status
2. Collection Items: Name, contact information, e-mail address, company
3. Retention Period: For 36 months from the date on which the consent is given

You have the right to refuse to provide consent to the collection and use of your personal information. However, please note that if you fail to provide consent, the submission of your inquiry will be restricted.

※ CJ OliveNetworks does not collect the personal information of a minor under the age of 14.