Abstract: Undated photos are organized by estimating the date of each photo. The date is estimated by building a model based on a set of reference photos having established dates, and comparing image characteristics of the undated photo to the image characteristics of the reference photos. The photo characteristics can include hues, saturation, intensity, contrast, sharpness and graininess as represented by image pixel data. Once the date of a photo is estimated, it can be tagged with identifying information, such as by using the estimated date to associate the photo with a node in a family tree.

Abstract: Undated photos are organized by estimating the date of each photo. The date is estimated by building a model based on a set of reference photos having established dates, and comparing image characteristics of the undated photo to the image characteristics of the reference photos. The photo characteristics can include hues, saturation, intensity, contrast, sharpness and graininess as represented by image pixel data. Once the date of a photo is estimated, it can be tagged with identifying information, such as by using the estimated date to associate the photo with a node in a family tree.

Abstract: A tree building system that accesses data from a social networking site and, in some embodiments, other data sites having information that may pertain to the relationships between users of the social networking site. A rules engine within the system implements logic for analyzing the data from the social networking site. The system provides a candidate list of possible relatives for selection by a user and solicits information from the user through the use of guided questions.

Abstract: A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.

Abstract: A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.

Abstract: A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.

Abstract: A graph database system is used to determine relationships between persons. The graph database system manages relationship data records having a compact data structure stored at a relationship database and accessed to find links or common relationships. For determining relationships between two people, the relationship records in the relationship paths for those two people are alternatively accessed and compared it to each other. Relationship records may include an identifier for a person having a relationship to a given individual, a relationship type, and a weight reflecting the confidence level or quality of the relationship.

Abstract: Undated photos are organized by estimating the date of each photo. The date is estimated by building a model based on a set of reference photos having established dates, and comparing image characteristics of the undated photo to the image characteristics of the reference photos. The photo characteristics can include hues, saturation, intensity, contrast, sharpness and graininess as represented by image pixel data. Once the date of a photo is estimated, it can be tagged with identifying information, such as by using the estimated date to associate the photo with a node in a family tree.

Abstract: A city directory, having a listing of names and associated information of residents in a city (or similar location), is digitized. Zones of text having information not useful to users of the digitized directory are removed, and lines of information corresponding to residents are reconstructed, to make the digitized directory more easily accessed and reviewed.

Abstract: A system and method for organizing photos and other documents include a user interface for displaying photos and data nodes. A photo may be placed at a data node by selecting a facial image in the photo and then moving the facial image (e.g., using a drop and drag technique) to associate the facial image with the node. In alternative embodiments, a portion of a photo other than a facial image may be selected, or an entire photo may be selected, and then placed at the node. The user can identify nodes based on the person in the facial image and tag the photo with identifying information. In some embodiments, existing nodes (e.g., in a family tree) can be displayed in order to have photos placed therein. Relationship nodes can be suggested as facial images are associated with nodes.

Abstract: Lines of data that are from a historical document, such as a digitized city directory, have information extracted and stored in searchable data fields. Words and phrases within the lines of data are identified and tagged. Rendering rules are applied to the tagged words and phrases to extract names, addresses, occupations, spouse information and other data, and store that data in the searchable fields.

Abstract: Embodiments relate to methods and systems for building representations of related subjects. User instructions may be received via a computer system that relate identifying information relating to a subject (e.g., an individual, group and/or event) to a node being associated therewith. Nodes in different accounts may be compared and matched based on identifying information associated with the nodes. Characteristics of one of the matched nodes may be added or modified based on characteristics of another of the matched nodes. A user may be notified of a potential match, a match, and/or node characteristics additions and/or modifications.

Abstract: Methods, devices and systems are described for transcribing text from artifacts to electronic files. A computer system is provided, wherein the computer system comprises a computer-readable storage device. An image of the artifact is received wherein text is present on the artifact. A first portion of the text is analyzed. Characters representing the first portion of the text are identified at a first confidence level equal to or greater than a threshold confidence level. The characters representing the first portion of the text are stored. A second portion of the text appearing on the artifact is analyzed. A plurality of candidates to represent the second portion of the text are identified at a second confidence level below the threshold confidence level. Finally, the plurality of candidates to a user for selection are presented.

Abstract: Various methods and devices involving reprographic copy stands are described. A reprographic copy stand may include a first support element configured to support a first cover of a book at a first plurality of angles. The reprographic copy stand may also include a second support element configured to support a second configured to support a second cover of the book at a second plurality of angles. The reprographic copy stand may include a platform configured to couple with the first support element at a first plurality of positions and the second support element at a second plurality of positions. The distance between the support elements may be variable according to the position of the first support selected from the first plurality of positions and the position of the second support selected from the second plurality of positions such that a plurality of book binding thicknesses are accommodated by the distance.

Abstract: A system and method for identifying a photo displays the photo with a family tree. Facial recognition, photo date estimation, people age estimation and gender determination are used to associate the displayed photo with one or more identified nodes in the family tree. A user can enter tagging information for the photo based on the identified nodes.

Abstract: Embodiments relate to methods and systems for building representations of related subjects. The representations may include a plurality of nodes, each being associated with a subject. Users may be able to access records and/or source documents related to a plurality of subjects and add or modify node characteristics based thereon. Users may interact with (e.g., by adding to or modifying) documents, files, and/or records and may also make other changes or additions to nodes in the system. A process may then identify what other users may be interested in such interaction and why. For example, a score may be associated with the interaction and other users based on factors such as whether the users have linked to the document, file or record and/or the node the interaction may apply to. Interacting users, identified users, and interaction details may be stored in a database. Identified users may be notified of the interaction.

Abstract: According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image.

Abstract: According to the invention, a system for storing and displaying genealogical information is disclosed. The system may include a processor and a storage medium having processor instructions. The instructions may be for receiving information which identifies a first and second parent, receiving information which identifies a first and second child, and receiving an indication that the first child is a biological child of both parents, and that the second child is a biological child of only one parent. The instructions may further be for receiving a first instruction to display a first listing of children, and in response, causing the first child to be displayed in the first listing, but not the second child. The instructions may additionally be for receiving a second instruction to display a second listing of children, and in response, causing both the first child and the second child to be displayed in the second listing.

Abstract: Devices, systems, and methods for facilitating the imaging of books are presented. A first transparent plate and a second transparent plate may be positioned at approximately a 45 degree angle to the first transparent plate. A dual-sided mirror may be configured to be positioned substantially parallel with the first transparent plate and to be positioned substantially parallel with the second transparent plate. The first side of the dual-sided mirror may be configured to reflect a first image of a first page of a book, the first image being received by the dual-sided mirror through the first transparent plate. The second side of the dual-sided mirror may be configured to reflect a second image of a second page of the book, the second image being received by the dual-sided mirror through the second transparent plate.

Abstract: Systems and methods for receive one or more document comprising genealogical or ancestral information and generating an electronic version of the document. Extracting genealogical or ancestral information from one or more documents and associate information extracted from the document(s) with one or more data fields of a genealogical record. Displaying the electronic document simultaneously with a plurality of genealogical or ancestral records that includes information about individuals, and a hierarchical structure describing a relationship between individuals.