We’ve all used Google Images to search for an image. You simply enter in the search keyword and results are given to you almost instantaneously. But what about videos? How does one search for a particular object or element in a video without having to literally go through the whole video? This is where Google’s Video Intelligence API comes into play.
At the recently held Google Next Cloud conference, Fei-Fei Li, chief scientist of AI and machine learning at Google Cloud spoke about the present and future applications of AI being developed by Google.
Among these was Google’s Cloud Video Intelligence API. This API, currently available to developers in a closed beta, will literally take a video and analyze it, in order to make their contents searchable. The video contained footage of a dog where the API identified the dog as a dachshund and then also understood that the entire video was a commercial.
Essentially, with Google’s Cloud Video Intelligence API, you will be able to search one or more videos using keywords that you define. The API will then show a list of results showing you exactly where in the video the objects in your keyword appear. You can see a bit of the demo from the video below.
According Google the Video Intelligence API would enable developers to take advantage of Google video search capabilities despite them not having a background knowledge of machine learning or computer vision. According to Fei-Fei Li, the API is for large media organizations and consumer technology companies, who want to build their media catalogs or find easy ways to manage crowd-sourced content.
Even though the Video Intelligence API is currently limited to a closed beta, the tool could be a massive hit with a service such as YouTube where you could search through almost 1 billion+ videos thus opening up a greater level of discovery. You no longer have to imagine. All you need to do is simply search for it.
You can sign up for the closed beta of Google’s Video Intelligence API here.
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What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa
What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa LAN Challenge 2018 is happening.
Semi-Finals of the internal tournament will take place on the 22nd and 23rd of January 2018 at Virtusa premises.
january 22 (Monday) - 23 (Tuesday)
Virtusa Pvt. Ltd. 752, Dr Danister De Silva Mawatha, Colombo 09
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and big data.
Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications
Module 3: Managing Datasets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning
Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks
Module 5: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
· Deploying and publishing models
· Consuming Experiments
Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products
Feel free to contact us for any inquiries
uditha bandara – 0716092918
All Day (Wednesday)
ANC education ,310 R A De Mel Mw, Colombo 03 00300
Blue Chip Training0716092918
Startup Weekend is a global phenomenon - 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships
Startup Weekend is a global phenomenon – 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships with co-founders; mentors, and investors.
The real value comes from taking an idea from concept through to execution using Lean tactics and working under high pressure with the best startups.
26 (Friday) 5:00 pm - 28 (Sunday) 8:00 pm
Oak Ray Regency Kandy
Oak Ray Regency Kandy, No 9, Devani Rajasinghe Mawatha,, 20000 Kandy