Tag Archives: Object Recognition

Cloud Storage: Ingestion, Management, and Sharing

Cloud Storage Solutions need differentiation that matters, a tipping point to select one platform over the other.

Common Platforms Used:

Differentiation may come in the form of:

  • Collaborative Content Creation Software, such as DropBox Paper enables individuals or teams to produce content, all the while leveraging the Storage platform for e.g. version control,
  • Embedded integration in a suite of content creation applications, such as Microsoft Office, and OneDrive.
  • Making the storage solution available to developers, such as with AWS S3, and Box.  Developers may create apps powered by the Box Platform or custom integrations with Box
  • iCloud enables users to backup their smartphone, as well tightly integrating with the capture and sharing of content, e.g. Photos.

Cloud Content Lifecycle Categories:

  • Content Creation
    • 3rd Party (e.g. Camera) or Integrated Platform Products
  • Content Ingestion
    • Capture Content and Associated Metadata
  • Content Collaboration
    • Share, Update and Distribution
  • Content Discovery
    • Surface Content; Searching and Drill Down
  • Retention Rules
    • Auto expire pointer to content, or underlying content

Cloud Content Ingestion Services:

Cloud Ingestion Services
Cloud Ingestion Services

The Race Is On to Control Artificial Intelligence, and Tech’s Future

Amazon, Google, IBM and Microsoft are using high salaries and games pitting humans against computers to try to claim the standard on which all companies will build their A.I. technology.

In this fight — no doubt in its early stages — the big tech companies are engaged in tit-for-tat publicity stunts, circling the same start-ups that could provide the technology pieces they are missing and, perhaps most important, trying to hire the same brains.

For years, tech companies have used man-versus-machine competitions to show they are making progress on A.I. In 1997, an IBM computer beat the chess champion Garry Kasparov. Five years ago, IBM went even further when its Watson system won a three-day match on the television trivia show “Jeopardy!” Today, Watson is the centerpiece of IBM’s A.I. efforts.

Today, only about 1 percent of all software apps have A.I. features, IDC estimates. By 2018, IDC predicts, at least 50 percent of developers will include A.I. features in what they create.

Source: The Race Is On to Control Artificial Intelligence, and Tech’s Future – The New York Times

The next “tit-for-tat” publicity stunt should most definitely be a battle with robots, exactly like BattleBots, except…

  1. Use A.I. to consume vast amounts of video footage from previous bot battles, while identifying key elements of bot design that gave a bot the ‘upper hand’.  From a human cognition perspective, this exercise may be subjective. The BattleBot scoring process can play a factor in 1) conceiving designs, and 2) defining ‘rules’ of engagement.
  2. Use A.I. to produce BattleBot designs for humans to assemble.
  3. Autonomous battles, bot on bot, based on Artificial Intelligence battle ‘rules’ acquired from the input and analysis of video footage.

Google Glasses for Dynamic Language, and Local Gesture Translation, and Let the Deaf be ‘Heard’

If you have Google Project Glass / Glasses with WiFi to WiFi device connectivity to a smartphone with a pair of head phones, or Glasses, and use Bluetooth, you can have local Language dialect and gesture translation instantly to your ears.  If you are looking at someone and they are articulating in anyway, either by signing, using local gestures, or are speaking in any dialect, an instant, fluent translation program reads and understands the real-time video frames per second (FPS) or Frame Rate, either using 50/60/120 FPS, then applies object recognition to read lips, or human movement, then plays a voice in your own local language dialect in your head phones or Bluetooth.

Travel the world and experience the cultures truly as the locals do, empathize, or use them in the workplace and truly eliminate discrimination against the deaf.

Object recognition may need to be applied to each video frame or sampling of the video stream from the real-time video feed of the Google Glass / Glasses.

Also, managers who employ people who are deaf may apply for a tax deduction or even get the glasses for free with a tax write off for their company.  In part, thank the people that produced Mr. Holland’s Opus. Watched the movie last night.  Great movie! In part, thanks to my mom who is somewhere in the middle east on a cruise

Also, I can see a new wave of popular kids coming up with gestures, and instantly recognized using the Glasses. Sorry kids.  Supposedly, these glasses will ship to Android Google Developers for the cost of $1,500 USD by the end of the year; however, that is just rumor, and if you know Java, an relatively easy programming language to pick up, the Android OS Java extensions are relatively easy as well.  A Small price to pay for a huge market, and maybe even tax deduction for a small business under Research and Development costs.  See your local small business government affairs office for more details.

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Freelance Streaming Video, Affiliate Advertising Innovation

As described in a previous post, see Streaming Video Freelance: Video Affiliate Network channels like Google Plus / YouTube, Facebook, Twitter and Viveo (everything from bar impromptu jams to concert events), I did not mention all the little bits to avoid issues such as all faces of the audience either need to have realtime face bluring technology similar to Facial recognition, or the people in the event must sign the waver, which might not be likely, so the solution will need a delayed streaming to allow blurring facial recognition software to work, and for some televised events, allow compliance to FCC regulations, edit introducing artificial intelligence (AI) word bleep insertion, and object recognition to blur the recognition of exposed body parts. 🙂 The ridiculously amazing advertising introduction: if a person signs up to allow to be seen, they could be picked if they are wearing a hat, sneakers, or certain brand of shirt, then if the AI object recognition picks up the object, a hue can accentuate the item, the viewer can pause the stream, click on the advertiser’s object on a video streaming tablet touch screen, and get a list of local and web distributors, prioritized by advertising, popularity, and rating.  Same goes for the red carpet events, and although not advertising dresses, suits, and accessories because of cost, it could enhance the event by again, pause, and get a blurb about the designer, the object and a link to the catalog or portfolio of the designer’s work. Introduces advertising revenue for on sight products. Even the videographers smartphone can have an addressable link to the product used to stream, as well as a small logo overlay which if clicked provides a profile of the videographer, and a brief portfolio of their work, all from a tablet application allowing the licensed distributor(s) a main channel in the center of the screen and small square boxes on the outer edge of the main window like PnP, and a person just taps on of the border boxed streams, and then that box becomes the stream that takes up the majority of the screen. The main window can have the absolute maximum fps for the device and the border windows may have half or a quarter of the allowed frames per second (fps), this way you still get to preview the alternate perspective streams, while watching the main stream. You can also auto hide the boarder preview streams to focus the user on the main stream and give them flexibility of alternate vantage points. The system may allow the videographer to bid for boarder alternate allowing placement of their streams in a particular corner, and frequency AS well as the user can have a ‘favorite’ freelancer videographer stream, and the system would allow for quicklinks to videographer streams the user knows will be at the event.

There is more in the predicted trends article for 2013.