Our solution
Avon believes that the internet and services on the Internet should be decentralized or have too much power in other very powerful hands. Avon focuses on online video decentralization and democratization to power Internet users. The problem of having the power of the Internet in some hands is that there is little or no transparency and even if these companies are good, they are so big that they have many ways of destabilizing them. In 2017, Google and Facebook both took advantage of the shortcomings in the system and faced major scandals of bad actors. Google was compromised many times with users who posted such content, who were cannibals producing brand and content security disputes. Facebook faced both the fake news issue and the data violation by Cambridge Analyica.
Each video object, such as a completed program or extracted clip, will be assigned a unique identifier using the Entertainment Identifier Registry (EIDR). EIDR provides a global unique identifier for the entire series of audiovisual object types relevant to commerce.
Avon Nodes will record their metadata in the JSON format applied for Atheri Blockchen. Most metadata will not be directly stored in block chains, but it is linked to using the EIDR identifier. This is because the size of the data can be quite large, especially when you include transcripts and translations.
A content graph can be seen as a bar graph, where the content characteristics are plotted with confidence scores on the horizontal axis and vertical axis. There will be properties where confidence will be zero and the facility is not detected. The order from left to right is reserved on the schema, so that two or more content graph patterns can be compared. Accessing properties involves a single subscript that represents an array index (for example graph [6] 6th element - gives the value of guns). The number of posts related to the specific characteristics being recorded can increase over time without affecting other uses of the graph.
There are many interesting features in the content graph, such as addressing the need for expanding the linking of new content security features, over time relevant to social norms. If AI can be trained to recognize the new security feature in the video content, then the attribute can be added to ContentGraph by adding single digits, without affecting the other properties or past usage of the graph.
Online video is growing so that video content is difficult to find
Avon believes that the requirement of OVSE will be in very high demand because it is difficult to find and find the video. While YouTube is seen as a video search engine, it is actually a video hosting platform and can only find videos that users upload on YouTube, which are mostly user generated and long tail content. Most premium content publishers generally do not upload their premium video content on YouTube, like uploading to their own video site or app.
Internet and online video decentralization required
Today, what we do online with online video as well as web traffic, user, user data, online advertising, search and social networking are FAANG (Facebook, Apple, Amazon, Netflix, Google) or BAT (Baidu, Alibaba, Tenant)) in China. More than 1.1 billion video views are seen on Google and Facebook each day. In premium online video and subscription services, Amazon and Netflix America accounted for about 62% of 113.8 million subscribers for subscription video on demand (SVOD) services and about 60% control of $ 14.9 billion US SVOD revenues in 2017. If you want the web traffic to your website or video, more than 70% of all Internet traffic comes from Google or Facebook. If you want to monetize pages and videos, Google and Facebook represent 77% of all online advertising and 99.7% of all new online advertising development. 99% of all mobile smartphones and app ecosystems are either operated by Android or Google (Apple). Fang and BAT have also developed and controlled the majority of most AI technologies and applications. It is clear that Fang and BAT dominate our digital life on the Internet, which means that the power of the Internet is centered in the hands of these major and centralized technical giants. The combined market capitalization of FAANG is $ 3.01 trillion or more than 27% of the total market capitalization of all the companies listed on the NASDAQ. Which means that the power of the Internet is centralized in the hands of these prominent and centralized technical giants. The combined market capitalization of FAANG is $ 3.01 trillion or more than 27% of the total market capitalization of all the companies listed on the NASDAQ. Which means that the power of the Internet is centralized in the hands of these prominent and centralized technical giants. The combined market capitalization of FAANG is $ 3.01 trillion or more than 27% of the total market capitalization of all the companies listed on the NASDAQ.
AI node
A neural network is a set of algorithms with the interconnecting nodes, which are modeled in a loose manner after the human brain, which is designed to recognize the pattern. How a child learns about how to apply the results of learning to copy the behavior of acquaintances (like parents) and to modify their behavior, using a neural network large labeled training data set The error between "output" output and desired result to optimize
Unfortunately, "One size fits all" is normalized AI algorithms or neural networks that can execute all the necessary functions. For example, to identify objects, identifying customized and trained CNN faces will be different from the configured CNN. Therefore, we will need to combine different types of AI techniques to develop a package of neural network-based AI software along with a specific trained model to perform the following tasks:
• Face visual recognition, object view at the frame level
• scene recognition features on Kantentgraf frame level
• Auto speech-to-text transcription
• Auto text-to-text Nuwad
Metadata extraction
Whatever information contained in the source metadata file is contained. This will include file type, file size, duration, encoding method, resolution, aspect ratio, data rate, number of audio tracks, closed captions, timecode etc. The uploader can supply data such as title, description, and locale, which can provide a lot of information for indexing purposes.
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