Method and system for determining viewing time of an online video
A method and system for approximating the viewing time of a video posted on a website of a plurality of websites on the Internet is disclosed herein. The method and system is able to approximate the viewing time of the online video by a visitor computer and transmit the information to a compiling server.
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This application is a continuation of Ser. No. 12/114,889, filed May 5, 2008, now U.S. Pat. No. 7,930,391, which application is based on and claims priority from Ser. No. 60/915,687, filed May 3, 2007.
This application includes subject matter protected by copyright.
BACKGROUND OF THE INVENTION1. Field of the Invention
The present invention is generally related to determining a viewing time of an online video posted on a website. More specifically, the present invention relates to determining how much time a visitor computer views an online video posted on website.
2. Description of the Related Art
Recently, the number of professional and amateur videos posted on websites throughout the Internet has substantially increased along with the popularity of viewing such professional and amateur videos. Several factors may be responsible for this substantial increase including the creation of websites dedicated to promoting such professional and amateur videos.
Alterman, U.S. Patent Publication Number 2006/0048186, for a Method And Apparatus For Storing And Accessing Videos From A Remote Location discloses an application service platform that allows websites to accept video uploads, and which also includes a method for tracking the number of times the video was accessed or viewed on the website.
Tufts, U.S. Pat. No. 7,159,023, for a Use Of Web Usage Trail Data To Identify Relationships Between Browsable Items, discloses a method for determining related links to a website using usage trails of a population of users that have accessed the website.
Tufts, U.S. Pat. No. 6,691,163, for a Use Of Web Usage Trail Data To Identify RelatedLinks, discloses a method for determining related links to a website using usage trails of a population of users that have accessed the website.
Kahle et al., U.S. Pat. No. 7,165,069, for an Analysis Of Search Activities Of Users To Identify Related Network Sites, discloses a system and method for identifying related network sites by accumulating search activity data and analyzing the search activity data.
Glommen et al., U.S. Pat. No. 6,766,370, for an Internet Website Traffic Flow Analysis Using Timestamp Data, discloses using a cookie which is small enough to pass from server to browser without negatively affecting performance in order to generate a time duration of a current sequence of requested documents by a network browser.
Krzanowski, U.S. Patent Publication Number 2005/0246651, for a System, Method And Apparatus For Selecting, Displaying, Managing, Tracking And Transferring Access To Content Of Web Pages And Other Sources, discloses the previous in regard to web pages including online videos.
Muret et al., U.S. Pat. No. 6,792,458, for a System And Method For Monitoring And Analyzing Internet Traffic, discloses using a log engine with log files to monitor hits from visitors to a website.
Glommen et al., U.S. Pat. No. 6,393,479, for an Internet Website Traffic Flow Analysis, discloses using a cookie which is small enough to pass from server to browser without negatively affecting performance in order to generate a real-time traffic at the site.
Burner et al., U.S. Pat. No. 6,282,548, for an Automatically Generate And Displaying Metadata As Supplemental Information Concurrently With The Web Page, There Being No Link Between Web Page And Metadata, discloses determining a web page address which is sent to a metadata server and displayed.
Keezer et al., U.S. Pat. No. 7,085,736, for Rules Based Identification Of Items Represented On Web Pages, discloses using a document object model of a web page to extract data from a website.
Many websites provide a “total” number of traffic received by a given item on their website—where an “item” can be a video file, audio file, web page, downloadable file, article; and where “traffic” can be page views, downloads, incoming links, or plays.
Singh et al., U.S. Patent Publication Number 2003/0171977, for a Clickstream Analysis Methods And Systems, discloses modifying off-line businesses based on identified characteristics obtained by online actions.
Most websites fail to state the time or date over which the traffic was received. This is because doing so would require additional programming, doing so would consume unnecessary disk space and processing time, and/or such information may not be important to the site owners.
This information, however, can be important to other parties. For example, determining traffic over time of a video or article may be important to advertisers and promoters interested in determining Internet trends.
Where previously a web item resided on only one website, the recent exposition of media hosting websites has given rise to a large redundancy of similar/identical files on different websites. This redundancy creates a demand for a method to aggregate traffic information from different websites about a similar item in order to determine the traffic of that item across the entire Internet. However, the prior art has failed to provide a means to address this problem.
The Internet also allows for websites to distribute a much larger selection of content than other methods of distribution such as stores, radio, and television. Because of this, traffic to items (such as video files, audio files, web pages, downloads, articles, or sales) on a website or group of websites fit into a “long tail distribution” where the highest ranked items each receive a very large amount of traffic while the vast majority of the lesser ranked items each receive relatively little traffic. Where “traffic” can be a view, a download, a link, or a sale. When graphed with the traffic to each item plotted on the y-axis and the items ranked by popularity on the x-axis, the curve formed can be approximated by the equation y=αbcx for x>0, where α and b are positive constants and c is a negative constant.
While it is possible to get an exact count of such a website's traffic, there are many problems in attempting to do so. First, because such a website can potentially receive tens of millions of viewers per day, it is technologically impractical to get an exact count of traffic by recording every view since doing so would dramatically increase the required disk space and processing power of the server. Second, a third-party cannot get an exact count of a website's traffic without requiring that website to add various forms of code it the website. Many websites are reluctant to add such codes to their website because it decreases the loading speed and creates possible security threats.
Another problem associated with videos on the Internet is approximating standard viewership over multiple websites. There are many Internet video hosts and a single video may be hosted on several of these sites. Because of this, it becomes useful to aggregate the statistics from all of these websites to determine the overall viewership of a video. Different video websites, however, have different criteria for determining viewership, particularly a “view” or “play,” and this creates a need to weight numbers from the various sites based on their criteria. For example, a first web site may register one view every time the video page is visited, a second web site may register one view only the first time a person visits the video page, and a third web site may only register one view once the video is played to the end. The prior art has failed to provide a solution to this problem.
BRIEF SUMMARY OF THE INVENTIONThe subject matter described herein provides a method and system for determining viewing time for online videos posted on the websites throughout the Internet.
This disclosure describes a technique to determine how long a video has been played. A goal is to provide information to video producers about how long their online videos are being played.
In one embodiment, a video is embedded in a webpage. Once the user stops playing the video or leaves the page, the video player (usually a FLASH™ player) prompts the user to send a request (usually an HTTP request) to a server containing the point at which the video was stopped or the user left. Selected users are requested to download a client program. This program preferably runs in the background of the user's computer and is activated anytime the user watches a video through his or her web browser or through a video player. Once the video is stopped, the client sends a request to a compiling server containing the play length. Preferably, this operation is done without interfering with the user's experience.
The play length of a video can be estimated by calculating the time a user spent on a web page containing an embedded video. This can be done in a number of different ways. First, when a client enters a page, his or her browser is prompted (e.g., by a Flash, HTML, or JavaScript code) to send an HTTP request to a server that compiles the information. Once the user leaves the page, his or her browser is prompted to send another request. The compiling server calculates the difference between requests and estimates that as the play time. Second, the user's computer marks the time on which a page is entered and upon exiting sends a request containing the time spent on page. Third, a log file containing the time at which a user accessed a series of pages can be kept on either the video host's server or the compiler server. This is automatically done with HTTP server software such as Apache. The difference in time between accessing a first page and a second page can be estimated as the time spent on a page and thus the time in which a video was played. If the estimated on-page time is greater than the length of the video, it can be estimated that the video was watched to the end. If the estimated time on page is unreasonably long, that time can be discarded.
Having briefly described the present invention, the above and further objects, features and advantages thereof will be recognized by those skilled in the pertinent art from the following detailed description of the invention when taken in conjunction with the accompanying drawings.
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The following code sample is an example implementation of the disclosed subject matter to determine actual viewer video viewing time. Traditional measurement techniques measure “hits” or page views by firing off javascript calls (or the like) generally once per web page, or by processing server logs. The challenge with determining the level of user interaction with an interactive application such as video is that the majority of the interaction occurs within the client, whether it is a Adobe Flash, Microsoft Silverlight, Windows desktop, Mac application, peer-to-peer, or other video implementation. By combining user-driven event calls from the video player with logic to signal when the user is skipping or rewinding over particular segments of the video file or stream, it is possible to measure the actual “captive” viewing time that the user experiences with the video. Example code for performing this function for a Flash player is set forth below (© 2008 Visible Measures Corp.):
From the foregoing it is believed that those skilled in the pertinent art will recognize the meritorious advancement of this invention and will readily understand that while the present invention has been described in association with a preferred embodiment thereof, and other embodiments illustrated in the accompanying drawings, numerous changes modification and substitutions of equivalents may be made therein without departing from the spirit and scope of this invention which is intended to be unlimited by the foregoing except as may appear in the following appended claim. Therefore, the embodiments of the invention in which an exclusive property or privilege is claimed are defined in the following appended claims.
The hardware and software systems in which the invention is illustrated are merely representative. The invention may be practiced, typically in software, on one or more machines. Generalizing, a machine typically comprises commodity hardware and software, storage (e.g., disks, disk arrays, and the like) and memory (RAM, ROM, and the like). The particular machines used in the network are not a limitation of the present invention. A given machine includes network interfaces and software to connect the machine to a network in the usual manner. The server may be part of a managed service (e.g., in an ASP model) using the illustrated set of machines, which are connected or connectable to one or more networks. More generally, the service is provided by an operator using a set of one or more computing-related entities (systems, machines, processes, programs, libraries, functions, or the like) that together facilitate or provide the inventive functionality described above. In a typical implementation, the service comprises a set of one or more computers. A representative machine is a network-based server running commodity (e.g. Pentium-class) hardware, an operating system (e.g., Linux, Windows, OS-X, or the like), an application runtime environment (e.g., Java, .ASP), and a set of applications or processes (e.g., Java applets or servlets, linkable libraries, native code, or the like, depending on platform), that provide the functionality of a given system or subsystem. As described, the service may be implemented in a standalone server, or across a distributed set of machines. Typically, a server connects to the publicly-routable Internet, a corporate intranet, a private network, or any combination thereof, depending on the desired implementation environment.
Claims
1. An apparatus for analyzing viewership of a video posted on a set of websites on the Internet, comprising:
- a processor;
- computer memory holding computer program instructions executed by the processor to: identify a video posted at least once on the set of websites; scrape a URL for the video from each website of the set of websites to collect a viewership value for the video at each URL for the video from each website of the set of websites; receive the viewership values for the video; aggregate the viewership values for the video to create an aggregated viewership value; and display the aggregated viewership value for the video.
2. The apparatus according to claim 1 wherein the aggregated viewership value for video is displayed in association with a time metric.
3. The apparatus according to claim 2 wherein the time metric is a day time metric.
4. The apparatus according to claim 1 wherein the display identifies a rank associated with the aggregated viewership value.
5. The apparatus according to claim 1 wherein the display identifies a network associated with the aggregated viewership value.
6. The apparatus according to claim 1 wherein the viewership values for the video are received via an Extensible Markup Language (XML) Application Programming Interface (API).
7. The apparatus according to claim 1 wherein the method also generates an approximate viewing time associated with the video.
8. The apparatus according to claim 1 wherein the aggregated viewership value for the video is displayed in association with the video.
Type: Application
Filed: Apr 18, 2011
Publication Date: Aug 11, 2011
Applicant: VISIBLE MEASURES CORP. (Boston, MA)
Inventor: Brian Holt (San Diego, CA)
Application Number: 13/088,626