Posts Tagged ‘television’

ABC News Vet Paul Mason Steps Up as CEO of Link TV

ABC News veteran Paul Mason has joined Link TV as the company’s new president and CEO. In a recent video, Mason “shares an astute observation about the current state of network and cable TV news. He suggests that while these twin mediums are great at reporting the initial details of major news events like the Japanese earthquake and the Arab spring, there is a real lack of proper, follow-up reporting once things die down.” See the video here. Read more

Tagging TV on a New Level: Scene by Scene Metadata

A new article looks at a developing trend of not just tagging television shows by episode but by the content of individual scenes. The article states, “Historically, TV Metadata has been used to supply Electronic Programme Guides (EPGs) and therefore has been adequate for description at a show level. But what about at the scene level? And why is scene level metadata — or Tagging TV — the new oil? It’s now all about applying metadata not just to a whole piece of content, but
individual chunks within it, such as a movie scene or song. Of course, this can be relevant both for production and search/discovery… but the real value lies in providing contextual data on the second screen — whether that be curated or automated, factual or commercial.” Read more

Semantic Technology’s Role in Leanback TV

A recent article discusses the growing trend of semantically powered “leanback” video players. The article begins, “When you are sat on the sofa at the end of the day relaxing and watching TV, maybe eating food and not in the mood to have to keep constantly making decisions about what to watch you might not think that you are in a situation where Linked Data and SPARQL queries could be useful. Yet the flexibility of the data that can be obtained from data sources supporting these technologies makes them ideal candidates to power a Leanback TV experience. With the right query it is possible to curate a collection of video podcasts that can be played one after each other to keep the TV viewer happy. They still have control, they can still go to any podcast in the collection, but they are not faced with a decision every ten minutes about what to watch, allowing them to relax and discover new content.” Read more

Trendrr Partners with Twitter and the Weather Channel

A recent article reports that Twitter has partnered with the Weather Channel “to push weather related tweets onto its enormously well-trafficked cable network and website, with the two groups splitting the ad revenue. For Twitter this is an opportunity to finally use its scale and speed in a partnership that can rake in good revenue. For New York based Trendrr, this was a chance to work behind the scenes on a massive deal. The company will be doing the semantic analysis to separate a tweet about a sudden rain shower from a tweet about your decision to take a quick shower after the gym.” Read more

Fostering TV Everywhere with Metadata

A recent article discusses the value of metadata in linking television content together, an important facet of a wider semantic relationship-building process. The article begins, “Today’s consumers want TV content not just in the web browser, but on smartphones, tablets, gaming consoles — you name it. However, for ‘TV Everywhere’ (TVE) to succeed, the industry cannot simply offer content on a multitude of devices — it must also ace the viewer’s search and discovery experience. Enter, metadata.” Read more

Jinni Offers Taste & Mood Based Discovery Engine for Film & TV

A recent article reports, “mgMEDIA, developers of multi-device digital content distribution platform Open4Content and Jinni, innovators of the only taste-and-mood based discovery engine for movies and TV shows, today announced a new strategic partnership to deliver a fun, intuitive and highly accurate Jinni semantic discovery experience. The Jinni discovery engine will be built in to the core of mgMEDIA’s over-the-top platform, Open4Content. Users will enjoy finding and viewing high-quality entertainment that suits their personal tastes and moods anytime, anywhere.” Read more

Semantic Web Jobs: 80 Legs & KMi

80 Legs is looking for a Systems Operations Engineer and a Data Engineer in Houston, TX. A qualified candidates for the Systems Operations Engineer position “Takes on the challenge of understanding and monitoring a complex, high-performance back-end infrastructure. Is constantly looking for ways to improve the performance of back-end operations and make monitoring those systems more efficient. Has a combination of development and systems experience.” The Data Engineer candidate “Understands and has experience with big data technologies (e.g., NoSQL, Hadoop). Has a solid understanding of data structures. Gets excited when working with unfathomably large data sets and computational challenges they present.” Read more

BBC Introduces Channelography

According to a recent article, “The BBC’s R&D department unveiled an interesting take on the traditional electronic programming guide (EPG) this week that allows viewers to search for people, places and things across tens of thousands of movies and TV show episodes. Channelography is based on captions of close to 170,000 pieces of programming shown across the BBC’s nine U.K.-wide TV networks, which can be searched for close to 100,000 data entities.” Read more

Bluefin Labs is Making Serious Headway on TV and Social Media

According to a recent article, “Bluefin Labs, a technology company grounded in cognitive science research, announced today that it has begun pilot testing initiatives that for the first time provide an actionable, key link between TV and social media. Bluefin Labs’ semantic technology interprets audience responses and intelligently pinpoints what people are reacting to – down to specific scenes, characters or even certain words that are used. Through partnerships designed to unearth and act upon insights from this quickly evolving area of marketing science, the company is in testing with top brand advertisers, agencies and content providers. Participants include: Best Buy Co., Inc., Mars, Humana, Razorfish, SS+K, Hill Holliday, Dentsu and FOX Sports.” Read more

Intenuum Introduces the TeeVlog

Intenuum recently announced that it has launched its first product, TeeVlog, which is based on “State-of-the-Art semantic search and smart learning algorithm. TeeVlog™ pushes customized TV-related content based on multi-path input instead of inputting one-path registered user based recommendation. In addition to core ‘search and smart learning technology’, Intenuum has also implemented SNS (Social Network Service) features to provide users the easiest way to share information they find from the services.” Read more