Aivon: Decentralised video analysis and metadata
One of the major challenges facing people and companies in the Internet era is information overload. The problem is not so much in finding interesting content as it is in sorting through it to find that which is best suited for your needs. Online videos and video advertising are a case in point. With the incredible volume of videos out there, it can be very difficult for interested parties, from viewers to advertisers, to pick out the ones that they require. Existing video platforms have only very limited searching capabilities based on the accompanying text. For advertisers, an additional problem exists in finding truly suitable adspace. Many embarrassing moments have been caused by ads being matched to irrelevant or inappropriate videos.
iVideoSmart, an established Singapore-based video platform and advertising company, wants to address those and other concerns in the video sphere through its potentially groundbreaking Aivon Platform. The platform will use a combination of AI and human intelligence, coordinated through the blockchain and incentivised with token rewards, to analyze every relevant aspect of videos and create a broad base of detailed metadata. Using this system as a foundation, iVideoSmart and other parties alike could create new dApps to enable video searching, advertisement and other services at a higher level of efficiency and precision than ever before.
Video categorisation on the Aivon Platform
Aivon is being developed on a hybrid blockchain foundation consisting of the Ethereum Mainnet used to support its native AVO token and the Plasma Network that will underpin the core platform. To classify their videos and receive metadata, content providers would need to upload them on the platform and offer an AVO reward pool, optionally making use of Aivon's token credit program. Each video will be divided into clips that will be assigned unique identities and analysed by a convolutional neural network consisting of computer vision and machine learning algorithms. This network will be distributed between AI Nodes being ran by ordinary users in exchange for a share of the AVO rewards. When necessary, the algorithms will be assisted by a network of freelance human experts, who will help with such tasks as transcriptions, translations, preliminary verifications and assigning more complex types of metadata and will receive AVO based on the quantity and quality of their contributions. Users could also stake AVO to run Validator Nodes, which will coordinate the network, assign tasks to human and AI participants, verify the end results and ensure the distribution of rewards through a proof-of-stake algorithm. They will also receive rewards but risk losing some of their staked tokens if they end up going against the final consensus.
The metadata gathered by Aivon will include video file properties, text, speech and face recognition and tags related to the video as a whole or some specific part of it. Once the analysis is complete, the original uploader could claim the reassembled video by providing the clip sequence and, if the claim accepted by the validators, receive its metadata. Aivon will publish a ContentGraph with each uploaded video, rating how appropriate it may be on the basis of such factors as adult themes, nudity, violence or offensive language. Software developers could then use Aivon and its ContentGraphs for their own video-related dApps. iVideoSmart intends to lead the way with an Open Video Search Engine (a metadata crawler governed by community consensus) and an ad matching dApp that may enable such innovative in-video advertising methods as digital product placement, ad overlays and interactive touch hotspots. AVO would, of course, be usable in those dApps as well.
What gives Aivon a competitive edge?
Computer vision video search technology, though potentially groundbreaking for online videos, is still at its incipient stage. Likewise, AI transcriptions and translations have come a long way, but are still far from being fully reliable. Aivon resolves this in two ways: by using human intelligence to keep the AI from stumbling and by relying on machine learning to learn from past mistakes and human interventions, refining the algorithms over time. The AI Node-based mining system should attract a wide base of supporting users, as it relies exclusively on CPU and GPU power. Given Plasma's high level of scalability, it should be fairly simple for Aivon to integrate new dApps and accommodate general growth.
Like its parent company, with which it shares much of its leadership, Aivon has a team that includes experienced entrepreneurs and other professionals from high-tech fields, including that of blockchain technology. In addition to developing dApps, iVideoSmart will provide it with a head start by adding its existing video platform to the system first, bringing over its substantial userbase in the process. Aivon has also secured a strategic partnership with Viscovery, a video AI company that will help develop its algorithms. The initial full version of Aivon's AI network and blockchain platform has already been launched and a facility for human experts has already been acquired. The rest of the validator and human expert infrastructure is expected to be rolled out over the course of 2019 and 2020.
Token sale details
The possible future of online videos
By expanding the boundaries of metadata and providing a coherent content safety rating system, Aivon stands to transform the video advertising industry, as well as the video watching experience. Of course, the usual caveats still apply. It will need a large base of users to support its network, both algorithms and people can be highly fallible, and it is bound to take a lot of time for machine learning to fulfill its promise. Its long-term success also depends on the industry showing sufficient interest in the idea of standardised video ratings, which may encounter some resistance. On the whole, though, it is quite likely to be seen as being worth the trouble.
Already, Aivon's ICO has been a notable success. Combined with the reasonably advanced stage of its development, this indicates that its goal of becoming a new industry standard might not be unattainable after all. Of course, it would still take years for it to be finished, and it will also face an uphill struggle against larger and more entrenched video platforms. But if Aivon's hybrid analysis system proves to be effective, it may eventually become the cornerstone of a broad video advertising and sharing ecosystem.
Links:
Website: https://aivon.io/
WhitePaper: https://aivon.io/whitepaper/
Telegram: http://t.me/aivonio
Facebook: https://www.facebook.com/aivonio
Twitter: https://twitter.com/aivonio
Medium: https://medium.com/@aivonio
ANN: https://bitcointalk.org/index.php?topic=5043237.0
Author: https://bitcointalk.org/index.php?action=profile;u=980049
eth: 0x52031420541AE92622745A9417B11E73fb470BE9
Disclaimer
This review by Bonanza Kreep is all opinion and analysis, not investment advice.