Metadata is the Achilles heel of video. These shorthand textual descriptions can be employed for more detailed searching, classification or other organizing, but, when scale is required, machine-generated metadata has accuracy issues.
On the other hand, the huge volume of video on the web makes human validation prohibitively expensive, so much video searching misses a lot of what’s visually there.
To solve this issue, a Singapore-based organization called Aivon has now launched a blockchain-based open protocol that combines AI with human crowdsourcing to support the creation and validation of text and metadata for a video search engine, translation, transcription and brand-safety applications. The organization says the resulting community will create the first decentralized video search engine.