1. A system for providing business travel and expense benchmarking analysis to an individual entity, comprising:
first data storage operable to receive and store travel data for a plurality of peer entities;
second data storage operable to receive and store expense transaction data for the plurality of peer entities;
a data storage server operable to aggregate a plurality of metrics of the travel data and the expense transaction data of the plurality of peer entities, thereby generating aggregated travel and expense data;
a processor operable to compare at least one of a first travel metric and expense transaction metric of the individual entity to a corresponding metric of the aggregated travel data and expense transaction data; and
a communications interface operable to electronically communicate a result of the comparison to a client host computer.
2. The system according to claim 1, further comprising:
a filter operable to separate data from the result of the comparison.
3. The system according to claim 1, further comprising:
a client information database in communication with the processor and operable to store client information data comprising customization information for the individual entity, wherein the comparison performed by the processor is determined in accordance with the customization information for the individual entity.
4. The system according to claim 3, further comprising:
a client customization engine operable to receive and customize the format of the result of the comparison in accordance with the client information data.
5. The system according to claim 1, further comprising:
a Web server operable to link the comparison result from the processor to the client host computer through the communications interface.
6. A computer program product comprising a computer usable medium having control logic stored therein for causing a computer to provide business travel and expense benchmarking analysis to an individual entity, said control logic comprising:
first computer readable program code for causing the computer to receive and store travel data for a plurality of peer entities;
second computer readable program code for causing the computer to receive and store expense transaction data for the plurality of peer entities;
third computer readable program code for causing the computer to aggregate a plurality of metrics of the travel data and the expense transaction data of the plurality of peer entities, thereby generating aggregated travel and expense data;
fourth computer readable program code for causing the computer to compare at least one of a first travel metric and expense transaction metric of the individual entity to a corresponding metric of the aggregated travel data and expense transaction data; and
fifth computer readable program code for causing the computer to electronically communicate a result of the comparison to a client host computer.
7. The computer program product of claim 6, further comprising:
sixth computer readable program code means for causing the computer to filter the result of the comparison.
8. The computer program product of claim 6, further comprising:
sixth computer readable program code means for causing the computer to store client information comprising customization information for the individual entity, wherein the comparison is determined in accordance with the customization information for the individual entity.
9. The computer program product of claim 8, further comprising:
seventh computer readable program code means for causing the computer to receive and customize the format of the result of the comparison in accordance with the client information data.
10. The computer program product of claim 6, further comprising:
sixth computer readable program code means for causing the computer to supply a webpage for displaying the result of the comparison to the client host computer through the communications interface.
11. A method for providing business travel and expense benchmarking analysis information to an individual entity, comprising the steps of:
(a) receiving and storing travel data for a plurality of peer entities;
(b) receiving and storing expense transaction data for the plurality of peer entities;
(c) aggregating a plurality of metrics of the travel data and the expense transaction data of the plurality of peer entities, thereby generating aggregated travel and expense data;
(d) comparing at least one of a first travel metric and expense transaction metric of the individual entity to a corresponding metric of the aggregated travel data and expense transaction data; and
(e) electronically communicating a result of the comparison to a client host computer.
12. The method according to claim 11, further comprising the step of:
(f) filtering data from the result of the comparison step.
13. The method according to claim 11, further comprising the step of:
(f) storing client information data comprising customization information for the individual entity, wherein the comparison step is performed in accordance with the customization information for the individual entity.
14. The method according to claim 13, further comprising the steps of:
(g) receiving and customizing the format of the result of the comparison step in accordance with the client information data.
15. The method according to claim 11, further comprising the step of:
(f) supplying a webpage for displaying the result of the comparison step to the client host computer through the communications interface.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. An image management method, comprising:
segmenting images into image clusters;
generating a page layout for a contact sheet comprising thumbnail clusters each comprising thumbnails of the images in respective ones of the image clusters, wherein the page layout divides at least a portion of the contact sheet into regions each containing a respective one of the thumbnail clusters and at least one associated user input field; and
storing a description of the page layout on a machine-readable medium.
2. The method of claim 1, wherein the segmenting comprises extracting temporal information from the images and grouping the images into the image clusters based on the extracted temporal information.
3. The method of claim 1, wherein the page layout comprises a label designating a set of the user input fields as annotation fields.
4. The method of claim 3, further comprising generating respective links between ones of the image clusters and user input in corresponding ones of the designated annotation user input fields in a scanned image of the contact sheet.
5. The method of claim 1, wherein the page layout defines an index region of the contact sheet comprising a list of candidate user inputs for ones of the user input fields.
6. The method of claim 5, wherein the index region comprises an action code designating a machine-implementable action to be performed with respect to ones of the image clusters corresponding to thumbnail clusters associated with user input fields containing the action code.
7. The method of claim 6, wherein the index region additionally comprises an iconographic representation of the machine-implementable action.
8. The method of claim 6, further comprising performing the action designated by the action code with respect to ones of the image clusters corresponding to thumbnail clusters associated with user input fields in a scanned image of the contact sheet containing user input corresponding to the action code.
9. The method of claim 5, wherein the index region comprises a destination user input field corresponding to a machine-implementable action associating an image of user input in the destination user input field with ones of the image clusters corresponding to thumbnail clusters associated with user input fields containing user input designating the destination user input field.
10. The method of claim 9, further comprising associating a bitmap image of user input in the destination user input field of a scanned image of the contact sheet with ones of the image clusters corresponding to thumbnail clusters associated with user input fields containing user input designating the destination user input field.
11. The method of claim 1, wherein the page layout comprises a respective delete field associated with each of the thumbnails and corresponding to a machine-implementable action deleting ones of the images corresponding to ones of the thumbnails associated with ones of the delete fields containing user input.
12. The method of claim 1, further comprising generating a machine-readable barcode comprising symbols encoding a storage location address of the page layout description.
13. The method of claim 12, further comprising decoding the storage location address of the page layout description from the machine-readable barcode in a scanned image of the contact sheet, and retrieving the page layout description based on the decoded storage address location.
14. The method of claim 13, further comprising extracting user input from the scanned image of the contact sheet based on the retrieved page layout location.
15. The method of claim 1, wherein each of the user input fields applies exclusively to all the images represented by the thumbnails in the thumbnail cluster that is associated with the user input field.
16. An image management system, comprising:
a computer-readable medium storing computer-readable instructions; and
a data processing unit coupled to the memory, operable to execute the instructions, and based at least in part on the execution of the instructions operable to perform operations comprising
segmenting images into image clusters,
generating a page layout for a contact sheet comprising thumbnail clusters each comprising thumbnails of the images in respective ones of the image clusters, wherein the page layout divides at least a portion of the contact sheet into regions each containing a respective one of the thumbnail clusters and at least one associated user input field, and each of the user input fields applies exclusively to all the images represented by the thumbnails in the associated thumbnail cluster, and
storing a description of the page layout.
17. A machine-readable medium storing machine-readable instructions for causing a machine to perform operations comprising:
segmenting images into image clusters;
generating a page layout for a contact sheet comprising thumbnail clusters each comprising thumbnails of the images in respective ones of the image clusters, wherein the page layout divides at least a portion of the contact sheet into regions each containing a respective one of the thumbnail clusters and at least one associated user input field; and
storing a description of the page layout on a machine-readable medium.
18. The machine-readable medium of claim 17, wherein the page layout comprises a label designating a set of the user input fields as annotation fields.
19. The machine-readable medium of claim 18, wherein the instructions additionally cause the machine to perform operations comprising generating a machine-readable barcode comprising symbols encoding a storage location address of a page layout description of the contact sheet and incorporating the machine-readable barcode into the page layout.
20. The machine-readable medium of claim 17, wherein the page layout defines an index region comprising a list of candidate user inputs for ones of the user input fields.
21. The machine-readable medium of claim 20, wherein the index region comprises an action code designating a machine-implementable action to be performed with respect to ones of the image clusters corresponding to thumbnail clusters associated with user input fields containing the action code.
22. The machine-readable medium of claim 21, wherein the index region additionally comprises an iconographic representation of the machine-implementable action.
23. The machine-readable medium of claim 20, wherein the index region comprises a destination user input field corresponding to a machine-implementable action associating an image of user input in the destination user input field with ones of the image clusters corresponding to thumbnail clusters associated with user input fields containing user input designating the destination user input field.
24. An image management method, comprising:
extracting user inputs from a contact sheet comprising thumbnail images and one or more annotation user input fields respectively associated with at least one of the thumbnail images;
determining whether one or more of the extracted user inputs correspond to respective ones of the annotation user input fields; and
in response to a determination that a given one of the extracted user inputs corresponds to a given one of the annotation user input fields, generating a link between an image of the given extracted user input and at least one original image corresponding to the at least one thumbnail image that is respectively associated with the given annotation user input field, and displaying the original image in association with the image of the given extracted user input on a physical display device.
25. An image management method, comprising:
extracting user inputs from a contact sheet comprising thumbnail images, one or more action user input fields respectively associated with at least one of the thumbnail images, and one or more destination user input fields;
determining whether any of the extracted user inputs designates any of the destination user input fields in any of the action user input fields; and
in response to a determination that a given one of the extracted user inputs designates a given one of the destination user input fields in a given one of the action user input fields, storing at least one original image corresponding to the at least one thumbnail image that is associated with the given action user input field on a computer-readable medium in a respective storage location in a logical file system, and labeling the respective storage location with an iconographic image of the given extracted user input.