AIVON : An Open Network for Video Powered by Artificial Intelligence

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AIVON will open this blockchain protocol and ecosystem for use by third-parties, including content distributors, publishers and advertisers. This will help AIVON achieve broad adoption and network effects benefiting all participants. The blockchain implementation will achieve this with smart contracts between the content owners, advertisers, distributors and service providers. The smart contracts will maximize utilization by enabling dispatch of jobs to the most productive service providers and grant incentives to promote better quality

These are just some of the problems which have arisen due to the massive expansion of video use online. With the deluge of videos being uploaded and consumed, searching for and/or discovering content becomes harder and harder.

YouTube is the closest thing to a search engine for today’s video, but it depends on the users who upload to actually catalog, tag, and provide descriptions for each video they upload. Of course, this will result in inconsistent cataloging. And users who search for video content are limited to what has been uploaded and tagged on YouTube.

Yet, online video is everywhere and YouTube is no longer the only destination for online video. Facebook, Google Plus, Twitter and many other sites rely increasingly on video to attract users. And let’s not forget viral video apps such as Instagram and Snapchat Stories. Video is becoming a standard component in most websites, indistinguishable from text and graphics. But sadly, most video is not indexed in any meaningful way.

The aim of AIVON is the Open Network for Videos Supported by Artificial Intelligence and Human Experts

Why is it like that. Let’s look at our explanation about this AIVON project :

Artificial Intelligence Video Open Network (AIVON) is a decentralized, open-source blockchain protocol and ecosystem built on a consensus network of Artificial Intelligence (AI) computing resources and a community of human experts, used to generate normalized and enhanced metadata for video content. Developers can build Decentralized Video Applications (DApps) on top of the AIVON protocol, the first of which will be the first decentralized Open Video Search Engine which AIVON will build. Platform participants can either run AI nodes or provide expertise and be rewarded with AVO Tokens.

Video about AIVON

AIVON believes that Internet and services on the Internet must be decentralized or else there is too much power in too few powerful hands. AIVON focuses on decentralizing and democratizing online video, giving power back to Internet users. The problem of having the power of the Internet in just a few hands is that there is little or no transparency and even if these few companies mean well, they are now so big that there are many ways to destabilize them. In 2017, both Google and Facebook faced major scandals of bad actors taking advantage of loopholes in the system. Google’s YouTube was compromised multiple times with users posting content that was malevolent creating brand and content safety controversies. Facebook faced both a fake news problem and a data breach by Cambridge Analytica. This is why AIVON is applying blockchain to content and the underlying metadata that powers content cataloging, indexing, search, discovery, trade and monetization and AIVON believes that this will be the backbone of a decentralized video open network and search engine that could act as a check and balance on FAANG and BAT.

The advantages of AIVON

Artificial Intelligence Specialized AI algorithms will be deployed on mining nodes, so that miners’ CPU and GPU resources can be used to scan media files, generate the enhanced metadata including time-coded tags, classification, categories, transcripts and translations, and an index of the video objects.

ContentGraph

AIVON platform will use AI to define a confidence score for each of several content safety attributes, such as: nudity, adult, offensive language, hate speech, violence, guns, alcohol etc.These confidence scores will be combined into a vector called a ContentGraphTM which can be visualized as a bar graph.

Human Expert

AIVON uses a network of freelancers with skills in tagging, metadata management, transcribing and translation. AIVON will empower its community with tools which enable individuals to review, verify and correct the AI-derived metadata, including the categorizations, transcriptions and translations.

How It Works

1. Requester passes a video to be processed through a client software.
2. The client software cuts the video up into individual chunks of pre-defined duration and submit them into AIVON
3. Using a Proof-of-Stake algorithm, validators are randomly selected with probability proportional to their stake. Selected validators then pick up a set of chunks from the job pool, duplicate them multiple times, and add in random challenger “markers” unique to each duplicate copy at random sequence to create temp clip.
4. Validator assign random AI nodes to process each clip. Upon result submission by AI nodes, Validator will use the random challenger marker to verify the result as a Proofof-Work.
5. Results are submitted to human experts to perform a binary verification.
6. Results from human experts are gathered and processed by Validator.
7. Requester monitors the network, once all tasks for chunks that make up a complete video are completed, Requester would be able to make a claim by providing the order of the chunks and publish an aggregated score of the original video, also known as ContentGraph.
8. Claim by Requester will be evaluated based on consensus. If it passes, Validator will publish the result as ContentGraph onto a new block on AIVON Plasma Chain.

Conclusion

The challenge for AIVON is to decentralize operation of the AI and freelancer community on top up of a consensus protocol, so that all sorts of DApps — both free or commercial — can reap the benefits of an Open Video Search Engine with much better metadata and our trademarked content safety index — ContentGraph.

AIVON will open this blockchain platform for use by third-parties, including content distributors, publishers and ad exchanges. This will help AIVON achieve broad adoption and network effects benefiting all participants. The AIVON Open Video Search Engine represents the first decentralized, open and unbiased video search engine which, unlike YouTube, is created, curated and maintained by the community.

TOKEN DETAIL

Token Symbol : AVO (TBC)

Private Sales Start Date : 1 August 2018

Whitelisting Date : 1 October 2018

Public Sales Date : November 2018 (TBC)

Initial issue size : 400,000,000 (400 million)

Maximum issue size : 1,000,000,000 (1 billion, after 10 years)

Token Price : 6.25 AIVON to 1 USD

(token price in Ether will be fixed 48 hours before start of the sale)

Hardcap Target : USD18,000,000

ROADMAP

Team

All AIVON builders hold experiences in metadata management, tagging, translation, and transcribing to ensure the functionality of the platform. This network of competent coders and experts promise a verified and right AI-derived metadata for the overall purpose of the blockchain protocol.

The team is made up of individuals who have passion and understanding about blockchains and its protocols. Most of them are engineers that already made their names in the industry and continue doing so.

Aside from the leaders and the other subordinates, the team is also being advised by blockchain platform founders, CEO from AI companies, and heads of lead developers of known software among others.

Visit the link below for more information on AIVON:

Bounty: https://bitcointalk.org/index.php?topic=5049216
ANN: https://bitcointalk.org/index.php?topic=5043237.0
WEB SITE: https://aivon.io/?utm_source=bounty
WHITEPAPER: https://aivon.io/download-whitepaper/
Facebook: http://www.facebook.com/aivonio
Twitter: http://www.twitter.com/aivonio
Telegram: http://t.me/aivonio
LinkedIn: https://www.linkedin.com/company/aivonio
Medium: https://medium.com/@aivonio

Author: SanZoldyck

My BitCointalk profile: https://bitcointalk.org/index.php?action=profile;u=1045517;sa=summary