Patent Application
20230281241
Photography has transformed how people conceive of the world. Photographs allow people to see all sorts of things that are actually many miles away and/or years preceding. Photography lets people capture moments in time and preserve them for years to come.
Often people at a public place notice that a stranger has taken a photograph of which they would love to have a copy, Alternatively, after going somewhere, a person may bemoan the fact that he did not have a photograph of the event (in the present context, photograph also includes video, audio, or other representation).
A need exists, therefore, to provide a method and apparatus for identifying and connecting people with photographs they want. In addition, there is a need to provide a method and apparatus for characterizing errant photographs stored on computer databases that makes use of a variety of attributes to reliably characterize photographs in such a way as to reduce the amount of manual review necessary to identify and connect people with the photographs they want.
The present invention provides a method and apparatus that matches people with photographs in which they accidentally (or purposely) appear or with photographs of events they have attended.
Specifically, in one embodiment, a web site is created with a database backend. The database is seeded with information provided by (1) the photographer; (2) recovering metadata from the photograph; (3) reading devices such as a Global Positioning System (GPS) device; (4) referencing the account data of the photographer (i.e., account number, photographer’s zip code or area code, etc.); (5) analyzing the photograph (i.e., computer recognizes eye color, optical character recognizes any text found in the photograph, recognizes the number of persons, the gender of persons, the hair color, the time of day by optical character recognizing any clocks in the photograph or analyzing the lighting conditions, the weather, etc.); (6) photograph quality information; and/or (7) any other information.
A user looking for a photograph would visit the web site and search for certain criteria. The user is then provided with a gallery of thumbnails that match the criteria. When the user identifies a photograph he wants to own, he can then download the full quality version, or order print(s). In a preferred implementation, the user is charged some amount of money that is split between the site owner and the photographer. Alternatively, the user may be charged in some other way, such as by viewing advertisements or by exchanging credits for downloads or by some other payment or a combination thereof.
A more complete understanding of the present invention will be afforded to those skilled in the art, as well as a realization of additional advantages and objects thereof, by a consideration of the following detailed description of the preferred embodiments.
The present invention provides a method and apparatus that matches people with photographs in which they accidentally (or purposely) appear or with photographs of events they have attended.
At step 104, image data is collected from a variety of sources. It may be desirable to accept material from as many sources as possible, to increase the number of images available for browsing. Optionally, images may be accepted from qualified sources only.
At step 104, source information regarding each photograph is collected. For example, at step 108, the image provider may be asked for information, such as the time and date of the photograph, the subject matter, location, photographer, etc. Image metadata may also be read to obtain such information. Other ways of associating images to identifying information may include, for example, reading devices such as a Global Positioning System (GPS) device attached to a camera or other image capture device, or by referencing account data of the image contributor (e.g., account number, photographer’s zip code or area code, etc.).
At step 110, image data is analyzed to identify any characteristics that may be of interest to users. Such characteristics may include, for example, eye color, words and sentences, a number or gender of persons, the hair color, time of day, lighting conditions, and so forth. For further example, at step 112, a facial recognition program as known in the art may be used to analyze any faces appearing in the photos at a sufficiently high resolution. At step 114, the images may be analyzed for the presence of any known markers. And at step 116, other features and qualities of the image may be classified, for example, whether it is taken indoors or outdoors, whether it contains people, dogs, cats, or other animals, whether it contains automobiles, airplanes, or other objects, and so forth. At step 118, selected feature information and other source information is associated with each image and provided to any suitable relational database.
At step 120, requests specifying search criteria for photographic images are received. For example, a user looking for a photograph may visit a web site hosted by the system and fill out a search form specifying search criteria of interest. The criteria may include specific subject matter, times, dates, and locations. For example, “Disneyland AND Matterhorn AND blue eye AND child AND Jan. 1, 2004 AND morning” would search for a photograph or photographs taken at Disneyland’s Matterhorn with a child who has blue eyes on the morning of Jan. 1, 2004.
At step 122, the image database is queried as known in the art, to identify images that at least partially match the search criteria. Such images may be presented, at step 124, to the user. For example, the user may be provided with a gallery of “thumbnail” (reduced-size) images generated from images that match the criteria. When the user identifies a photograph he wants to own, he can then download the full quality version, or order print(s). In a preferred implementation, the user is charged some amount of money that is split between the site owner and the photographer. Alternatively, the user may be charged in some other ways such as by viewing advertisements or by exchanging credits for downloads or by some other payment or a combination thereof. The price can be on a sliding scale depending on the quality of the photograph that the user downloads or the size or quality of the print. For example, a photograph may cost $1.00 for 1024×768 resolution or $2.00 for 1600×1200 resolution. Similarly, a print may cost $1.00 for 3×5 or $5 for 8×10. For downloads, an “upgrade” may be possible by charging the difference between the resolutions. An automated process may be used to reduce the number of pixels for purposes of having a lower quality version to sell.
In addition, a surcharge may be applied (even if no surcharge is required) for various enhancements to the photograph, such as “upconverting” to a higher resolution, eliminating red-eye, enhancing shadow, color, or brightness, etc.
Moreover, when a photographer takes photographs, he can be provided with printed cards bearing a Uniform Resource Locator (URL) and a unique code in order that the user would be able to enter into the web site to find the photograph or the series of photographs then being taken. The photographer can also distribute cards (the printed cards bearing the URL and the unique code or any other cards known to those skilled in the art) to people whom he photographs, whether intentionally or inadvertently. The photographer can further advertise the same (e.g., the URL and the unique code) via a mark on his camera, a T-shirt, or other means.
Fixed-place cameras can also serve this function (e.g., the of photographer). For example, a camera set up at an intersection in Hollywood might take and upload one photograph every 10 seconds.
Photographers can also be given accounts and be allowed to upload photographs to the site. The database is populated during this process, although additional database information can be added later by web site users. In addition, the number of times the photograph has been purchased and/or viewed can be a part of the database.
In one embodiment, the method and apparatus of the present invention should be capable of face recognition. It should assign values to various factors (i.e., ratio of distance between pupils to distance to tip of nose, etc.). It would add this information to the database for uploaded photographs. A user can then upload a photograph of the target person and the system would then generate the same data from that photograph and use it to limit the possible search targets.
A provider of the present method and apparatus or a photographer can also hand out pins, clothing, or other materials that are marked in a way that allows a computer to later recognize them in a photograph.
Numerous distribution mechanisms exist whereby photographs may be distributed from a source over a wide area network, such as the Internet. In some cases, the photographs are distributed using a centralized server system (such as Napster 2.0, eBay, or from a web site). In other cases, the photographs are distributed using a decentralized system (such as Gnutella). In a preferred implementation, the photographs are distributed to a person using the centralized server system or using a central hub.
Embodiments of the present invention operate in accordance with at least one web-hosting mechanism and a plurality of user mechanisms communicating over a wide area network, such as the Internet. Specifically, a web-hosting mechanism includes a database, an interface application and a server, wherein the server is adapted to communicate with a plurality of user mechanisms over a wide area network. It should be appreciated that the mechanisms described can include, but are not limited to, personal computers, mainframe computers, personal digital assistances, wireless communication devices and all other physical and wireless connected network devices generally known to those skilled in the art. It should further be understood that the database depicted can include, but is not limited, to RAM, cache memory, flash memory, magnetic disks, optical disks, removable disks, SCSI disks, IDE hard drives, tape drives, and all other types of data storage devices (and combinations thereof, such as RAID devices) generally known to those skilled in the art. In addition, the mechanisms described above are for purposes of example only and the invention is not limited thereby.
Having thus described several embodiments for photograph finding, it should be apparent to those skilled in the art that certain advantages of the system have been achieved. It should also be appreciated that various modifications, adaptations, and alternative embodiments thereof may be made within the scope and spirit of the present invention. For example, in the context of the present invention a photograph can include video, audio, and/or other representation of how people conceive of the world. The invention is defined by the following claims.
This application is a continuation of U.S. application Serial No. 12/874,929, filed Sep. 2, 2010 which is a continuation of U.S. application Serial No. 12/325,589 filed Dec. 1, 2008, Now Pat. No. 7,844,141, which is a continuation of U.S. application Serial No. 11/056,699 filed Feb. 10, 2005, now Pat. No. 7,460,737, which claims priority pursuant to 35 U.S.C. § 119(e) to U.S. Provisional Application No. 60/544,570, filed Feb. 12, 2004, which applications are specifically incorporated herein, in their entirety, by reference.
| Number | Date | Country | |
|---|---|---|---|
| 60544570 | Feb 2004 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17371595 | Jul 2021 | US |
| Child | 18297434 | US | |
| Parent | 17020671 | Sep 2020 | US |
| Child | 17371595 | US | |
| Parent | 16105876 | Aug 2018 | US |
| Child | 17020671 | US | |
| Parent | 15481595 | Apr 2017 | US |
| Child | 16105876 | US | |
| Parent | 14518655 | Oct 2014 | US |
| Child | 15481595 | US | |
| Parent | 13776463 | Feb 2013 | US |
| Child | 14518655 | US | |
| Parent | 13090026 | Apr 2011 | US |
| Child | 13776463 | US | |
| Parent | 12874929 | Sep 2010 | US |
| Child | 13090026 | US | |
| Parent | 12325589 | Dec 2008 | US |
| Child | 12874929 | US | |
| Parent | 11056699 | Feb 2005 | US |
| Child | 12325589 | US |
