question: How does Youtube remember where you left off on the majority of every video you've watched?
comment: Did you know you can start a video at any time index just by adding that time index to the link? This time index is all they have to remember for this (trust me, they remember lots more about you). Tracking this little information about each video you watch doesn’t even scratch the surface of ‘big data’.
passages: In June 2007, YouTube began trials of a system for automatic detection of uploaded videos that infringe copyright. Google CEO Eric Schmidt regarded this system as necessary for resolving lawsuits such as the one from Viacom, which alleged that YouTube profited from content that it did not have the right to distribute. The system, which was initially called "Video Identification" and later became known as Content ID, creates an ID File for copyrighted audio and video material, and stores it in a database. When a video is uploaded, it is checked against the database, and flags the video as a copyright violation if a match is found. When this occurs, the content owner has the choice of blocking the video to make it unviewable, tracking the viewing statistics of the video, or adding advertisements to the video. By 2010, YouTube had "already invested tens of millions of dollars in this technology". In 2011, YouTube described Content ID as "very accurate in finding uploads that look similar to reference files that are of sufficient length and quality to generate an effective ID File". By 2012, Content ID accounted for over a third of the monetized views on YouTube.
   Uploaded videos were saved as a .gvi files under the "Google Videos" folder in "My Videos" and reports of the video(s) details were logged and stored in the user account. The report sorted and listed the number of times that each of the user's videos had been viewed and downloaded within a specific time frame. These ranged from the previous day, week, month or the entire time the videos have been there. Totals were calculated and displayed and the information could be downloaded into a spreadsheet format or printed out.
  
  Section::::Video distribution methods.:Website.
   Some video search is performed using human powered search, others create technological systems that work automatically to detect what is in the video and match the searchers needs. Many efforts to improve video search including both human powered search as well as writing algorithm that recognize what's inside the video have meant complete redevelopment of search efforts.
   Section::::Search criterion.:Text recognition.
  
  The text recognition can be very useful to recognize characters in the videos through "chyrons". As with speech recognizers, there are search engines that allow (through character recognition) to play a video from a particular point.
   TiVo has three levels of data collection. By default, the user is in "opt-out" status, where all usage data is aggregated by ZIP Code, and individual viewing habits are not tracked. Certain optional features and promotions require the user to opt in, and individual information is then collected for targeted show suggestions or advertising. Users can request that TiVo block the collection of anonymous viewing information and diagnostic information from their TiVo DVR.
  
  Section::::Issues.:Litigation.
   During the same court battle, Viacom won a court ruling requiring YouTube to hand over 12 terabytes of data detailing the viewing habits of every user who has watched videos on the site. On March 18, 2014, the lawsuit was settled after seven years with an undisclosed agreement.
  
  Section::::History.
   In addition to basic demographic information and descriptions, each site page includes a sliding image gallery of up to 75 images, and a link to the main image gallery of up to 250 images per site. Further bibliographic information and still images (photographs) of each site are available for both traditional and content-based image retrieval, and when videos, audio clips as well as 360° Panophotographies are available, they are also provided.
   Section::::In Google products.
  
  The project's technology is currently used in the Android Operating System's speech recognition system, photo search for Google+ and video recommendations in YouTube.
  
  Section::::Team and location.
   In 2018, YouTube introduced a system that would automatically add information boxes to videos that its algorithms determined may present conspiracy theories and other fake news, filling the infobox with content from Encyclopedia Britannica and Wikipedia as a means to inform users to minimize misinformation propagation without impacting freedom of speech. In the wake of the Notre-Dame de Paris fire on April 15, 2019, several user-uploaded videos of the landmark fire were flagged by YouTube' system automatically with an Encyclopedia Britannica article on the false conspiracy theories around the September 11 attacks. Several users complained to YouTube about this inappropriate connection. YouTube officials apologized for this, stating that their algorithms had misidentified the fire videos and added the information block automatically, and were taking steps to remedy this.
   Veoh's recommendations engine is intended to enable viewers to find content that interests them. The recommendations engine was originally built by co-founder Dr. Ted Dunning, Chief Scientist for Veoh. Subsequently, it was renovated by John Dimm in 2007 and finally restructured, refined, and maintained by Alexander Sherbak in 2008 through 2010 utilizing patent pending cluster identification algorithms. Veoh recommendations are based on user view history. As users watch videos, the Veoh recommendation system presents directly relevant video choices based around view histories of users with similar viewing/watch patterns.
  
  Section::::Blocked countries.
   BULLET::::- "Directed by James Frost, OK Go, and Syyn Labs."
  
  BULLET::::- 58 million YouTube views
   Channels that the community tab becomes enabled for, get their channel discussions (earlier: “channel comments”) erased, instead of co-existing.
  
  Section::::Features.:Content accessibility.
   Regardless of general availability, content providers were given the opportunity to limit access to video files to only users from certain countries of residence. However, methods of circumventing geographical filtering existed.
  
  Section::::Shut down.
  
  On October 9, 2006, Google bought former competitor YouTube. Google announced on June 13, 2007, that the Google Video search results would begin to include videos discovered by their web crawlers on other hosting services, in YouTube and user uploads. Thereafter, search result links opened a frameset with a Google Video header at the top, and the original player page below it. 
   BULLET::::- Mylist: Each user may create "mylists", which function similarly to a list of bookmarks. All users can create up to 25 mylist folders, while a basic account can have 100 videos recorded and a premium (paid) account 500 videos per mylist, giving them a total of 12,500 mylist spots. Daily mylist activity is used to compute the default ranking view, although one may also sort by view or comment count. Mylists may be optionally made public and linked to; for example, to make a list of one's own works.
   Content ID is a digital fingerprinting system developed by Google which is used to easily identify and manage copyrighted content on YouTube. Videos uploaded to YouTube are compared against audio and video files registered with Content ID by content owners, looking for any matches. Content owners have the choice to have matching content taken down or to monetize it. The system began to be implemented around 2007. By 2016, it had cost $60 million to develop and led to around $2 billion in payments to copyright holders. By 2018, Google had invested at least $100 million into the system.
  
  Section::::Overview.
   BULLET::::- Cốc Cốc is able to find media content (audio, video) on most streaming websites and save it to the computer for viewing or listening offline, by one click on an icon on toolbar. Except for several premium websites, all popular streaming websites, for example, YouTube and Dailymotion, are downloadable on the browser.
   Since mid 2018, Google is Beta testing a new tool called Copyright Match, a simplified version of Content ID with more limited options, which would be available to uploaders with more than 100000 views. However contrary to Content ID which sends copyright notices automatically, with Copyright Match no action is taken until the creator chooses to do so.
  
  Section::::Trademark lawsuit.
   Content identification technologies allows owners, distributors, aggregators, advertisers and publishers of video or audio content to protect their media content and deter copyright infringement as well as measure usage and control their assets. The latest advancements in both digital watermarking and fingerprinting technologies have allowed new applications and business models for synchronization, triggering and monetization of content.
  
  The latest development in watermarking and fingerprinting technologies are now seeing new applications enabling the automatic content recognition and triggering of specific events to smart devices. 
   In February 2007, Viacom sent upwards of 100,000 Digital Millennium Copyright Act takedown notices to the video-sharing site YouTube. Of the 100,000 notices, approximately 60–70 non-infringing videos were removed under the auspices of copyright infringement.
   In this technique, a unique signature is created for the video on the basis of the video's content. Various video copy detection algorithms exist that use features of the video's content to assign the video a unique fingerprint. The fingerprint can be compared with other videos' fingerprints stored in a database.
   It is expected by Next/Market Insights that 2.5 billion devices will be integrated with ACR technology to provide synchronized live and on-demand video watching experience.
  
  Section::::History.
   Section::::Features.:Video technology.:Annotations.
   Their searches are often based on reading the metadata tags, titles and descriptions that users assign to their videos. The disposal and order criterion of the results of these searches are usually selectable between the file upload date, the number of viewings or what they call the relevance. Still, sorting criterion are nowadays the main weapon of these websites, because the positioning of videos is important in terms of promotion.
  
  Section::::Interfaces.:Internet.:Video searchers repositories.
   Multilingual multimedia collections of the 936 UNESCO World Heritage Sites are accessible by:
  
  BULLET::::- Geographical regions - such as Africa, Asia, Europe, etc.
  
  BULLET::::- Within each region by country or areas
  
  BULLET::::- Within each country or area, alphabetically by the name of the World Heritage Site
  
  BULLET::::- Alphabetically by World Heritage Site category: Cultural, Natural, Mixed, In Danger
  
  BULLET::::- Timeline, listing type of site, name of site, and a popup with information, an image, and a link to the main page for that World Heritage Site
   Users who are logged into a Google Account can save locations so that they are overlaid on the map with various colored "pins" whenever they browse the application. These "Saved places" can be organised into user named lists and shared with other users. One default list "Starred places" also automatically creates a record in another Google product, Google Bookmarks.
  
  Section::::Implementation.:Map data and imagery.
  