Epic Labs to exhibit at IBC 2018 introducing LightFlow by Epic Labs.

EPIC LABS TO EXHIBIT AT IBC 2018 INTRODUCING FIRST-IN-CLASS VIDEO STREAM OPTIMIZER FOR QUALITY OF EXPERIENCE (QoE): LIGHTFLOW by Epic Labs

Epic Labs will exhibit at IBC 2018 introducing LightFlow: a QoE enhancer leveraging advanced machine learning technologies, smart encoding algorithms and cognitive services for better user engagement. Visit us at Stand 14.A36 to learn about LightFlow Video Stream Optimizer for QoE

Madrid- 02/08/2018 – Epic Labs (www.epiclabs.io), proud member of the DASH Industry Forum and Digital Production Partnership (DPP), is pleased to announce its presence at IBC 2018 introducing a new QoE enhancer media platform known as LightFlow.

LightFlow is an easy-to-use platform that enables an enhanced user experience by leveraging advanced encoding techniques using machine learning techniques. LightFlow also introduces ultrafast (real-time) encoding and cognitive services to optimize video streams bringing the best quality of experience for customers. It works either for VoD (file-based) and live streams on DASH and HLS on any device player.

LightFlow improves media through proprietary Machine Learning algorithms that analyse content providing the best video quality at a lower bitrate generating an optimal ABR ladder and encoding profiles. Some of the benefits are: minimize rebuffering events, improve video start time (VST), exit before video starts (EBVS) and reduce video start failures (VSF) achieving a best-in-class stream that flows perfectly over any internet connection.

A more efficient use of video bandwidth means a lower cost for storage and improving CDN performance, while reducing transcoding costs.

LightFlow can be easily integrated on any OTT or live TV Channel workflow by consuming a light and intuitive API and an architecture that allows multiple deployment models (SaaS, on-prem, cloud, hybrid).

Customers will get an enhanced QoE, better user engagement and user retention by offering a TV-Like experience.

LightFlow main features:

– Per title smart encoding.
– Per scene smart encoding.
– Live smart encoding.
– Low-Latency smart encoding.
– Advanced media cognitive services: face recognition, auto-clipping, enriched archiving, contextual advertising and content moderation.

LightFlow can be deployed on any media workflow and any existing infrastructure either on-premises or on any cloud provider. Epic Labs can also provide the encoding, storage and delivery for any workflow. LightFlow enables a 100% out-of-the-box solution to fit on any workflow or requirement.

Alfonso Peletier, Epic Labs CEO and Founder: “We have identified a raising demand of OTT providers and broadcasters to improve viewers’ experience: a great image quality and a lighter stream that loads up fast, with no rebuffering events no matter the network condition or device brand. At Epic Labs, we have put an incredible Team of media software engineers, encoding and machine learning experts to create LightFlow with the mission to boost viewers QoE while keeping media workflows costs at bay. We are proud to be at IBC, the best place to be when launching a new product like LightFlow and stay in close touch with decision makers from all over the world.”.

In addition to offer attendees the chance for a hands-on demonstration and in-depth information about LightFlow, Alfonso Peletier, Epic Labs CEO & Founder, will be part of the panel “Artificial Intelligence and Machine Learning: Status update” that will be held on Saturday 15th at 15:30 in the Hall 14 Content Everywhere Hub.
Epic Labs will be at stand A36 in Hall 14 at Amsterdam RAI. To schedule a meeting with Epic Labs at IBC 2018, please send an email to: sales@epiclabs.io or visit www.epiclabs.io

Press and Media contact (Content and advertisement):
Jesús Carrillo
Marketing and Communications Manager
M.: +34 649 801 593
E.: jcarrillo@epiclabs.io
W.: www.epiclabs.io

Retrospectives in Agile methodologies. the base of improvements.

Retrospectives in Agile methodologies, the base of improvements.

Whitepaper by Juanjo Escribano.

Taking some time for analyzing ourselves, our status and also our internal processes, is a key factor for improvement either in software development or in our own lives. It is said that even the longest trip starts with a small first step, but knowing where we are is certainly important to go in the right direction. You need to know where you are in order to know how to get to your destination. But as we are all humans we all make mistakes. All the time. Everyday. So, even if you know where you are and the direction you must take to get to your destination, you can miss that step.

 

Download it for FREE!

Whitepaper

NLP for Computer Vision – Having breakfast with Terminator

In this video, we are talking about another tool of Machine Learning- Natural Language Processor- which could be used to enhance the accuracy and power of computer vision. Natural Language Processing or NLP is used to understand the meaning of human language by training an algorithm that looks for the relationship between words. One of these relationships could be “belongs to” or “contains”, and so we can relate several concrete terms (fruit, cereals, milk) with an abstract concept that contains all (breakfast, morning). We can use this feature to increase our accuracy in detecting concepts in a scene. We also propose this method for the use case “Contextual Advertising” to avoid wrong detections derived from the context of a video:

0:00 – Intro
0:37 – Object Detection
1:07 – NLP definition
1:16 – Context example 1: BREAKFAST
2:00 – Context expample 2: BASEBALL
2:23 – Contextual advertising USE CASE
3:00 – Recap

Dash.js V 2.6.8 released with relevant features.

Dash.js V 2.6.8 released with relevant features.

Epic Labs, a proud member of the DASH Industry Forum and Digital Production Partnership (DPP), announces the release of version 2.6.8 of dash.js that incorporates major improvements such as low latency Chunked CMAF support.

Several enhancements have been incorporated in this new version such as fixes that improve captioning and DRM handling. But above all, two implementations are extremely important, one of them is the support of persistent licenses (DRM), while the other is the introduction of Low latency chunked CMAF over HTTP, which enables 2-4 second latency for live streams keeping a smooth playback experience. Supporting this feature in a scalable manner is enabled by major CDNs such as Akamai.

The development aims to provide an alternative to older protocols like RTMP whose main advantage over HTTP streaming ones was its lower latency.

In the client side, part of the solution is based on the use of the fetch API offered by browsers, which allows reading incoming chunks as they arrive, instead of waiting for them to be completed. Dash.js analyzes the byte stream representing each chunk and pushes it to the video decoder as soon as it has enough information to start playback stably. Every player based on dash.js is able to benefit of this new feature by doing nothing but updating to the latest version.

Jesús Oliva, Epic Labs Media Engineer Lead & Founder: “This is an exciting achievement because it provides a low latency chunked solution based on open standards, protocols and source code. A real alternative to proprietary or custom solutions that require to package content in a strange manner or exceed the norm. This is a great deal for the industry.”

 

 

Dash Industry Forum Dash.js
Dash Industry Forum Dash.js

The DASH Industry Forum (DASH-IF) establishes interoperability gui- delines on the usage of the MPEG-DASH streaming standard. MPEG- DASH simpli es and converges the delivery of IP video, to provide a rich and enjoyable user experience, to help drive down costs and ultimately to enable a better content catalogue to be offered to consumers.

Epic Labs Media Engineering Services
Epic Labs Media Engineering Services

Epic Labs, proud member of the DASH Industry Forum, is a software engineering center that helps companies to innovate in Media, offering advanced video solutions and several collaboration proposals in digital transformation.

La inteligencia artificial aplicada a los archivos de televisión

La inteligencia artificial aplicada a los archivos de televisión

Presentación Power Point de Epic Labs en las II Jornadas de Archivo y Televisión organizadas por RTVE el 16 de abril de 2018, dentro del panel “Metadatado automático y herramientas cognitive en archivos de televisión”.

 

 

Descargate la presentación.

 

Machine Learning for Business as Unusual. Álvaro Gonzalez and Ignacio Peletier.

Álvaro González. Epic Labs AI Lead Engineer.
Ignacio Peletier. Epic Labs AI Engineer.

In 2004, Chris Anderson presented his article “The Long Tail” in Wired magazine, explaining how the future of digital businesses would focus on a lot of niches in front of mass markets. This is one of the most important things that allows video in the internet era, where each person can search and find content that fits perfectly to their likes, finding it either within the user generated content. And that is exactly where the qualities of artificial intelligence can help.

“It is not about doing the same things by replacing people with machines, it is about doing business as unusual, doing something that is not usually done.” Álvaro González. Epic Labs AI Lead Engineer.

There is a lot of talk these days about how AI can simplify workflows and perform tasks that are repetitive and automatic to achieve more efficiency. But what if instead of focusing on resource optimization, what we do is think about those things that are not done because there is not enough people or budget for it? It is then when machine learning, video and long tail enable new and interesting use cases that can be undertaken through artificial intelligence tools, either in a 100% automated process or requiring some kind of supervision.

In sports, we have the case of those that have a local interest which are minority, or smaller leagues. Thanks to the commoditization of content generation and delivery technologies, it is possible to organize productions operated by artificial intelligence. Focusing on football, a machine learning system can enable a local football match to be made automatically and broadcast it over a streaming channel. You can even train to do replays and include graphics. It is not a question of whether the production is as good as a handful of technicians could have made, it is about having a product where there was nothing before, which among other things, allows monetizing that long tail through dynamic advertising or a unique Sponsorship.

This technology can also be applied to recognize and cross-reference material to create content. As we continue to talk about football, this can be applied in parallel to the cameras on the air to all those that are being ingested on some server, taking advantage of material that is usually discarded because no staff is available to review and classify it. In this way, new content can be created, looking for this niche once again, as can be a summary of everything a player has done in a football match, at the choice of the user.

Álvaro González, Epic Labs AI Lead Engineer: “This also applies to any other sport, personal hobbies and much other cases. We are living in an era where the end-user is able to generate their own content if they cannot find it, and the artificial intelligence can help us to get and retain that people.  More than ever, unusual content requires unusual business.”

New dash.js version available. version 2.6.7. Available Epic Labs

New dash.js version available

Epic Labs, proud member of the DASH Industry Forum and Digital Production Partnership, announces that version 2.6.7 of the dash.js player has been released.

Several new features have been added in this new version, three of which are particularly important like the new multi-key DRM support, this means that the various tracks that make up a stream, such as video and audio, can each have their own unique DRM systems and/or keys.

A new pre-load feature has also been added, providing a great benefit to end-users. This new functionality enables the stream to be loaded despite the fact that there is not yet a place where it can be shown or played on the screen. This is especially helpful because although the user doesn’t know where the stream is going to be played, it has already started to be loaded, so when it gives play to the video it will start instantaneously, improving the usability.

At last, dash.js has been equipped with methods to allow the player to run without any problem when playing incorrectly formatted material. In many cases, the players must deal with streams with badly created segments or incorrect internal timing, which causes undesired results or the impossibility to play video. Many automatic features have been introduced in version 2.6.7 to guarantee better tolerance to poorly formatted contents so that dash.js can guarantee optimal playback.

 

 

The DASH Industry Forum (DASH-IF) establishes interoperability gui- delines on the usage of the MPEG-DASH streaming standard. MPEG- DASH simpli es and converges the delivery of IP video, to provide a rich and enjoyable user experience, to help drive down costs and ultimately to enable a better content catalogue to be offered to consumers.

Epic Labs, proud member of the DASH Industry Forum, is a software engineering center that helps companies to innovate in Media, offering advanced video solutions and several collaboration proposals in digital transformation.