Internship: Video cut scene detection for TravelCast

Description de l'offre

If you could change one thing about travel, what would it be? At Amadeus, you can make that happen!

Travel makes the world a better place and we are fully dedicated to improving it and making it even more rewarding. We are one of the world’s top 15 software companies: we provide technology solutions and services within the travel industry.

Do you have ideas on how to improve travel for everyone? Do you find the idea of working in a diverse, multicultural environment exciting? Are you ready to make an impact across the world? Great, then join us! Let’s shape the future of travel together. #shapethefutureoftravel@Amadeus

Start Date : January, April

Duration : 6 months

Team Description

Part of the Innovation department, CSS-INR-HO3 unit is mainly responsible of developing innovative project at Amadeus. The team is working closely with analysis and research team to develop new ways to tackle innovative problems, machine learning, AI… The expectations around the project are high and your contribution will help shape the future of our solution. The team challenge is to ensure the same level of quality than Amadeus products while requiring agility and fast deployment abilities.

Main responsibilities

In scope of Amadeus TravelCast project, youwill participate in building a new version of the video editor. Your mission will be to help the team to integrate video scene cut detection in our web application allowing for an easier and smoother user experience. You will alsoparticipate inproposing new designs for the editor as video scene detection may drastically change the way users are interacting with our system.

You will participate in following activities:

· Propose an approach to video scene cut detection.
· Integrate video scene cut detection algorithm with our system being front-end or back-end.
· Build a user interface for the video editor relying on video scene cut detection in respect of the team coding guideline and architecture.
· Collaborate with analysis and research team in the field of image processing and machine learning.
· Write documentation and specification.

Requirements

· JavaScript (Strong knowledge)
· Go (Good knowledge)
· Communication,Team spiritand Adaptability
· Education: University degree or student in engineering, computer science or similar
· English: goodknowledge

Our diversity commitment: equality, diversity and inclusion are part of who we are. We’re committed to equal opportunities and treatment regardless of age, ethnicity, gender, beliefs, sexual orientation or disability.

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