To make poorly labeled videos easier to discover, Manhattan-based video analysis startup Dextro is launching a platform that analyzes and tags the contents of publicly available videos, using algorithms to identify common scenes, objects, and speech. Mic, a news site aimed at millennials, has partnered with Dextro and will use the platform, called Sight, Sound & Motion (SSM), to discover newsworthy videos that may otherwise be difficult to find. READ MORE: This New Platform Makes The Contents Of Videos As Searchable As Text | Fast Company | Business + Innovation
The B.C. Court of Appeal has released its decision in Equustek Solutions Inc. v. Jack, a closely watched case involving a court order requiring Google to remove websites from its global index. As I noted in a post on the lower court decision, rather than ordering the company to remove certain links from the search results available through Google.ca, the order intentionally targets the entire database, requiring the company to ensure that no one, anywhere in the world, can see the search results.
Compared to searching for text, searching for images is super hard. But a new way to index and navigate through averaged images—those blurry composites that pull together millions of images into one—could radically change the way that we search for photos or products online.
The new engine, called Hummingbird, is the first change to Google’s core algorithm since the launch of Caffeine in 2010. Hummingbird, said Amit Singhal, Google senior vice president and one of its earliest employees, affects 90 percent of searches with Google worldwide.
Singhal was careful to note that while page ranking and indexing are bound together in a search engine, Caffeine focused more on the ranking side of the algorithm. Hummingbird is more about indexing.