DX Consulting

Our business goal goes beyond the digitalization stage of simply filing/digitizing assets and storing them in storage.
Hardware infrastructure, customer experience, business model, and digital technology foundation for customer business areas, We provide integrated software solutions to help you plan management strategies and operations.

with customers Digital Transformation (DX,Digital Transformation) pursues.

DX's Transformation refers to a fundamental level of change and transformation that has been pursued through change and transformation, and is a management strategy that fundamentally transforms corporate/organizational strategies, configurations, processes, business models, cultures, communications, and systems based on digital infrastructure.

It aims to pursue structural and innovative changes across the organization's business beyond the introduction of a simple digital SW/HW infrastructure.

Media Archive Solution provides the best digital transformation consulting to customers based on many years of experience developing broadcasting/media solutions and building various SW and HW infrastructure.

The pursuit of change through unconditional expensive and huge investments is not the DX that our company pursues.

The DX in the broadcasting/media industry that we pursue is to change the process by accurately utilizing the digital technologies needed for the media industry at the right time and from this to suggest a new and better direction for the organization's human resources/culture/business model.

In the media industry DX

Examples of DX in the Media Industry

The media industry is attempting to change using various DX elements, and continues to try to change in related business areas such as production, management, operation of content.

■ Building an archive system using the cloud
■ Edit Web/Cloud-Based Video
■ Analysis of people, products, actions, backgrounds, scenes, objects, audio, subtitles through AI engine

■ Production of broadcast content using AI humans (ex : news script)

■ Preservation and use of digital media data through virtual reality (VR) / augmented reality (VR) construction

DX actual application cases

AI Subtitle Automation

Automated extraction of external video metadata (subtitles, voice, image, face, STT, etc.) through AI (Company A)

■ Deep face analysis and recognition engine recognizes the frame of the person through training.

■ Determine whether to shoot the anchor alone by checking the size of the anchor's face outline included in the frame
■ Extracts subtitles by recognizing the pure subtitle area excluding the logo and scroll news area through its own logic.
■ Analyze with OCR engine and metadata into text
■ Dramatic improvement in recognition by extracting data only from the subtitle area

■ Automates the process of searching/viewing/input by the person in charge.

AI STT Hub

Automate text extraction of audio including multiple languages using cloud AI STT technology(Company M)

■ Previously, internally generated videos (interviews, filmed transcripts), externalManually create and process scripts for large amounts of video, including incoming video (domestic/foreign/other)

■ Build a system so that users can select the video they need, convert it to mp3, and then complete the script through an external SaaS interface gateway, automating the content that was previously scripted while watching the video manually.

■ Scripts available for multiple languages such as Korean/English/Chinese

■ It is built to allow selection when connecting to an external SaaS service, so it can be replaced by selecting SaaS in the future.

NLP-based AI Meta

Automation of AI metadata extraction using technologies such as Natural Language Processing (NLP) from media data in archives (Company E)

■ Metadata extraction for video search required from hundreds of thousands of clips

■ Subtitles for the disabled, AI keyword extraction, importance adjustment

■ Analyzing Entities / Entities Analysis / Item Analysis of Natural Language Processing (NLP) examines known items (specific nouns such as celebrities, attractions, etc.) in a given text

■ TF-IDF (Term Frequency - Inverse Document Frequency) algorithm is introduced to filter out keywords unique to the video.