Considering AES video encryption for your assets at rest and during delivery? Curious on the merits of AES-256 vs AES-128 for video?
A security audit, a systematic evaluation of the security of an organization’s information system, can measure many things to see how it conforms to established practices and criteria. In relation to video, this can include virtually every state of the content, from data at rest to in transit. This article covers what is video encryption, explains AES (Advanced Encryption Standard) and why it’s discussed about what bit key is ideal to use for video.
From more information on this topic, and on the greater concept of video security, also be sure to check out our Enterprise Video Security Components & Services white paper.
With the news moving at lightning speeds, consumers are more tuned into current events than ever while media companies are challenged to keep pace. Broadcast networks are under intense pressure to respond quickly to breaking news, world events, and sporting games in order to satisfy consumer demand for instant, quality digital experiences.
However, delivering accurate captions for live broadcast is both time and resource intensive for broadcast networks, given that production teams must manually transcribe live programming in real-time – which often leads to delayed or incorrect captions. To solve these challenges, IBM launched Watson Captioning – a flexible, scalable solution that leverages AI to automate the captioning process and uses machine learning to improve accuracy over time. As outlined in this white paper, Captioning Goes Cognitive: A New Approach to an Old Challenge, Watson is bringing greater context to video assets while removing some of the challenge associated with closed captioning.
Through its Live Captioning functionality, Watson Captioning empowers closed captions for broadcast networks, unlocking value from live video content and optimizing the viewer experience. By accurately captioning live video content, broadcasters can provide premium experiences for local viewers, increase accessibility for the hearing-impaired community, and adhere to compliance standards.
One of our core tenants at IBM is to find and work with great partners who share our vision and values. The ecosystem is important. At Watson Media, we’re focused on bringing powerful portfolio of AI (artificial intelligence) video solutions to market. To meet the unique needs of our customers, Watson Media works with a number of partners to augment our solutions and build robust solutions that aid in driving efficiencies, delivering elevated video experiences and delighting consumers.
Wondering what is video encoding and why it’s important?
In this article, we’ll examine the process of encoding, codecs and compression techniques. This includes what makes for a recommended codec, although is situation dependent. It also covers why certain artifacts, related to compression, might appear in your video. As a result, you’ll walk away with a better understanding of this process and how it relates to adaptive bitrate streaming.
In media, context is everything: Just as a hand signal that means “V for victory” in one country may be incredibly offensive in another, what’s culturally acceptable in a television show in the U.S. may be verboten elsewhere around the world.
By flagging questionable content for media compliance, Watson not only saves time and costs, but opens up opportunities in new markets for content creators and broadcasters alike. For more information about how AI can save time and money with compliance, also be sure to download IBM Watson Media’s ROI analysis paper: From AI to ROI: When playback means payback.
Looking to reduce network bandwidth across your entire organization while sending out high quality internal video?
Through using IBM Cloud Video’s Enterprise Content Delivery Network (ECDN) and the Cisco® 4000 Series Integrated Services Routers (ISR), companies can reduce strain on their network from the main offices all the way down to smaller, satellite offices as well to achieve scalable enterprise streaming video.
This article covers what is ECDN technology, the benefits of it and why you should be using it with the Cisco ISR 4000 technology to enable your entire organization to enjoy high quality internal video without causing local congestion issues.
Need some advice on choosing a live streaming camera that is best for you? One of the first steps toward doing a broadcast is selecting a video source, often times a video camera.
There are a lot of camera options out there, and different ways to connect them to your encoder as well. Not only that but prices can range pretty dramatically, with some being around $80 while others can get into the thousands. Plus, some might be confused about capture cards, like why or when do they need them as part of their overall workflow.
This article, and accompanying video, aim to demystify this a bit. Aiding you in learning a few tricks of the trade so that you can better navigate choosing a camera for your next live streaming project. Also, be sure to check out our Video Studio Recommendations guide as well to help you create your video studio with your live streaming camera.
Looking for best practices on your corporate video strategy? 77% of executives believe their organization should be doing more to capitalize on video technology for internal use. If you feel the same way, these best practices can help.
Here are 5 best practices to ensure that users are getting the most out of their corporate video solution:
- Offer user friendly security options
- Enhance asset indexing
- Survey your audience setup
- Be mobile friendly
- Track usage
When average TV viewers are channel surfing on the couch, they probably aren’t thinking too much about big data. But it’s already beginning to shape the viewing experience, namely by providing recommendations. And as time goes on, it will begin to have an even bigger impact.
As the amount of video content—and video viewers—grows, so does the data available about viewing habits and preferences. This is a boon for content creators, who can begin to leverage these insights to create better experiences for their customers in a variety of different ways. While there’s still a lot of data left to be uncovered, changes are already underway in the realms of service quality, content recommendation and production.
For more details on the topic of using data for video enrichment, also be sure to read this Uncovering Dark Video Data with AI white paper.
79% of executives with video content archives agree that a “frustration of using on-demand video is not being able to quickly find the piece of information I am looking for when I need it.” This data comes from a joint IBM Cloud Video and Wainhouse Research report, which interviewed 1,801 executives. The frustration is a growing challenge, but one that can be addressed while simultaneously adding valuable captions to video content. This is achieved through automatic closed captioning, with support to both edit and search them.
Called Watson Captioning, available as part of Streaming Manager and as a stand alone service, the process works by utilizing IBM Watson to generate closed captions, converting video speech to text. Once generated, content owners can modify these for accuracy through a dashboard editor, simplified by confidence levels that will underline words under a certain threshold. Afterwards, these corrected captions are not only accessible in the player but can be searched against as well, empowering viewers to jump to parts in the video where their topic of interest is mentioned.
This article discusses, briefly, the process of generating these captions before detailing the user experience in searching them and how content owners can edit them as well.