Ensuring a desired distribution of content in a multimedia document for different demographic groups utilizing demographic information

A method, system and computer program product for ensuring a desired distribution of images in a multimedia document among different demographic groups. Demographic criteria (e.g., age) is received to form demographic groups of members of an organization. Demographic information along with interests of the members are retrieved. Such member data is analyzed within the constraints of the demographic criteria to generate a statistical distribution of members of the organization that forms an initially desired distribution of content of the multimedia document among the demographic groups of the organization. An indication is then provided to the user regarding whether the current distribution of the content of the multimedia document among the demographic groups of the organization satisfies or does not satisfy the desired distribution of content among the demographic groups. In this manner, the user can ensure a desired distribution of content in the multimedia document among different demographic groups.

TECHNICAL FIELD

The present invention relates generally to creating multimedia documents, and more particularly to ensuring a desired distribution of content (e.g., images) in a multimedia document (e.g., yearbook, slideshow, video, website) for different demographic groups (e.g., a group of individuals in their 20s) utilizing demographic information (e.g., age, gender).

BACKGROUND

Generating a multimedia document, such as a yearbook or slideshow, that includes a set of images that is representative of different demographic groups (e.g., a group of individuals in their 20s, a group of individuals in their 30s, etc.) within a large group of members (e.g., employees at a company) can be a difficult task. For example, it takes a lot of effort and time in creating an end of the year slideshow for an organization (e.g., company, non-profit organization) that includes pictures of members of the organization (e.g., employees of company). The creator(s) of the slideshow may want to ensure that each demographic group (e.g., groups based on age, race, gender) are not overly or inadequately represented in comparison to the other demographic groups in order to provide fairness and increase member enjoyment. For example, the creator(s) of the yearbook may want to ensure that the slideshow does not include many images of a particular demographic group (e.g., twenty pictures of males) while only including a single image of another class demographic group (e.g., a single picture of a female). However, the creator(s) of the slideshow may have hundreds or thousands of images of hundreds of members of the organization to choose to include in the slideshow. As a result, it may be overwhelming for the creator(s) of the slideshow to ensure that each member of the organization is adequately represented in the slideshow and that there are not some members that are overly represented in the yearbook.

Currently, a multimedia document, such as a slideshow, may be generated by selecting an image for inclusion in the slideshow, where the image has associated facial detection information. A face location is determined in the selected image based on the facial detection information and the selected image is cropped based on the determined face location to generate a cropped image depicting the included face. The cropped image is inserted into a slide associated with the slideshow. However, there is not currently an approach in ensuring a specific distribution of images in the slideshow for various demographic groups, such as ensuring a particular demographic group is not overly or insufficiently represented in the slideshow.

Furthermore, a multimedia document, such as a yearbook, may be designed and created utilizing a facial recognition module for identifying a subject in a photo and tagging the photo with an identity of the subject. Identifying the subject may include comparing the photo to a plurality of previously tagged photos to identify the subject. However, there is not currently an approach in ensuring a specific distribution of images for demographic groups in the yearbook. For example, there is not currently an approach in ensuring that each demographic group has a minimum number of images in the yearbook. Neither is there currently an approach in ensuring that there is a certain percentage of images out of the total number of images in the yearbook for a particular demographic group.

Therefore, there is a need in the art for ensuring a desired distribution of images for various demographic groups in a multimedia document (e.g., yearbook, slideshow, video, website).

BRIEF SUMMARY

In one embodiment of the present invention, a method for ensuring a desired distribution of images in a multimedia document among different demographic groups comprises receiving demographic criteria to form demographic groups of members of an organization. The method further comprises retrieving demographic information of the members of the organization. The method additionally comprises retrieving interests of the members of the organization. Furthermore, the method comprises analyzing the demographic information and the interests of the members of the organization within constraints of the demographic criteria to generate a statistical distribution of members to form a desired distribution of content of the multimedia document among the demographic groups of the organization. Additionally, the method comprises receiving content of the multimedia document for analysis. In addition, the method comprises analyzing the content of the multimedia document based on the demographic criteria. The method further comprises determining, by a processor, a current distribution of the content of the multimedia document among the demographic groups of the organization based on the analysis. The method additionally comprises providing an indication that the current distribution of the content of the multimedia document among the demographic groups of the organization satisfies or does not satisfy the desired distribution of content among the demographic groups of the organization. In this manner, the user can ensure a desired distribution of content in the multimedia document (e.g., yearbook, slideshow, video, website) among different demographic groups.

DETAILED DESCRIPTION

The present invention comprises a method, system and computer program product for ensuring a desired distribution of images in a multimedia document among different demographic groups. In one embodiment of the present invention, demographic criteria (e.g., age, race, gender) is received from a user to form demographic groups of members of an organization (e.g., demographic group of females aged 11-20 years old). Demographic information (e.g., age, gender, race) of members of the organization along with interests of members of the organization are retrieved. Such member data is analyzed within the constraints of the received demographic criteria to generate a statistical distribution of members of the organization that initially forms a desired distribution of content (e.g., images, video, text, voice) of the multimedia document among the demographic groups of the organization. For example, if the demographic criteria received was to form demographic groups based on age, then a statistical distribution of members of the organization based on age may appear as follows: aged 11-20 (5%); aged 21-30 (20%); aged 31-40 (40%); aged 41-50 (20%); aged 51-60 (10%); aged 61 and older (5%), where the percentage indicates a percentage of the members of the organization with an age in that corresponding demographic group. The content of the multimedia document (e.g., yearbook, slideshow, video, website) created by the user is then received for analysis. The content of the multimedia document is analyzed based on the demographic criteria. For example, if the demographic criteria received was to form demographic groups based on gender, then the content (e.g., pictures) of the multimedia document is analyzed for images of individuals based on gender. The current distribution of the content of the multimedia document among the demographic groups of the organization is determined based on this analysis. For example, it may be determined that out of the 1,000 images analyzed, 700 of them were pictures of males and 300 of them were pictures of females. A determination is then made as to whether the current distribution of content among the demographic groups of the organization satisfies the desired distribution of content among the demographic groups. For example, it may be determined that out of the 100 slides of the slideshow, 70 slides depict men and 30 slides depict women. Such a content distribution (70 slides of men and 30 slides) may be compared to the desired distribution of content among the demographic groups of the organization, such as a statistical distribution of members of the organization based on gender: male (65%) and female (35%). In such an example, the current distribution of content among the demographic groups of the organization does not satisfy the desired distribution of content among the demographic groups since 70% of the slides depict men as opposed to 65% and only 30% of the slides depict females as opposed to 35%. An indication may then be provided to the user regarding whether the current distribution of the content of the multimedia document among the demographic groups of the organization satisfies or does not satisfy the desired distribution of content among the demographic groups of the organization. In this manner, the user can ensure a desired distribution of content in the multimedia document (e.g., yearbook, slideshow, video, website) among different demographic groups.

Referring now to the Figures in detail,FIG. 1illustrates a network system100configured in accordance with an embodiment of the present invention. Network system100includes a computing device101connected to a database102via a network103. Computing device101may be any type of computing device (e.g., portable computing unit, Personal Digital Assistant (PDA), smartphone, laptop computer, mobile phone, navigation device, game console, desktop computer system, workstation, Internet appliance and the like) configured with the capability of connecting to database102via network103. A hardware configuration of a computing device101is discussed below in connection withFIG. 2.

Network103may be, for example, a local area network, a wide area network, a wireless wide area network, a circuit-switched telephone network, a Global System for Mobile Communications (GSM) network, Wireless Application Protocol (WAP) network, a WiFi network, an IEEE 802.11 standards network, various combinations thereof, etc. Other networks, whose descriptions are omitted here for brevity, may also be used in conjunction with system100ofFIG. 1without departing from the scope of the present invention.

Database102is configured to store demographic information (e.g., age, gender) for members (e.g., employees) of an organization (e.g., non-profit organization, corporation). In one embodiment, database102may further be configured to store profiles of the members containing information, such as the employee's interest, skills, roles and family members. In one embodiment, database102is configured to store the statistical distribution of members of the organization that corresponds to the desired distribution of content of a multimedia document (e.g., yearbook, slideshow, video, website) among the different demographic groups (e.g., males aged 21-30, males aged 31-40) of the organization as discussed further below in connection withFIGS. 3-4. WhileFIG. 1illustrates a single database102, network system100may include any number of databases102that may store in combination or separately one or more of the different types of information discussed above.

Referring now toFIG. 2,FIG. 2illustrates a hardware configuration of a computing device101(FIG. 1) for practicing the principles of the present invention in accordance with an embodiment of the present invention.

As illustrated inFIG. 2, computing device101has a processor201coupled to various other components by system bus202. An operating system203runs on processor201and provides control and coordinates the functions of the various components ofFIG. 2. An application204in accordance with the principles of the present invention runs in conjunction with operating system203and provides calls to operating system203where the calls implement the various functions or services to be performed by application204. Application204may include, for example, an application for ensuring a desired distribution of images in a multimedia document among different demographic groups (e.g., males aged 21-30, males aged 31-40) as discussed below in association withFIGS. 3-5.

Referring again toFIG. 2, read-only memory (“ROM”)205is coupled to system bus202and includes a basic input/output system (“BIOS”) that controls certain basic functions of computing device101. Random access memory (“RAM”)206and disk adapter207are also coupled to system bus202. It should be noted that software components including operating system203and application204may be loaded into RAM206, which may be computing device's101main memory for execution. Disk adapter207may be an integrated drive electronics (“IDE”) adapter that communicates with a disk unit208, e.g., disk drive. It is noted that the program for ensuring a desired distribution of images in a multimedia document among different demographic groups (e.g., males aged 21-30, males aged 31-40), as discussed below in association withFIGS. 3-5, may reside in disk unit208or in application204.

Computing device101may further include a communications adapter209coupled to bus202. Communications adapter209interconnects bus202with an outside network (e.g., network103ofFIG. 1) thereby enabling computing device101to communicate with other devices, such as database102(FIG. 1).

I/O devices may also be connected to computing device101via a user interface adapter210and a display adapter211. Keyboard212, mouse213and speaker214may all be interconnected to bus202through user interface adapter210. A display monitor215may be connected to system bus202by display adapter211. In this manner, a user is capable of inputting to computing device101through keyboard212or mouse213and receiving output from computing device101via display215or speaker214.

As stated in the Background section, generating a multimedia document, such as a yearbook or slideshow, that includes a set of images that is representative of different demographic groups (e.g., a group of individuals in their 20s, a group of individuals in their 30s, etc.) within a large group of members (e.g., employees at a company) can be a difficult task. For example, it takes a lot of effort and time in creating an end of the year slideshow for an organization (e.g., company, non-profit organization) that includes pictures of members of the organization (e.g., employees of company). The creator(s) of the slideshow may want to ensure that each demographic group (e.g., groups based on age, race, gender) are not overly or inadequately represented in comparison to the other demographic groups in order to provide fairness and increase member enjoyment. For example, the creator(s) of the yearbook may want to ensure that the slideshow does not include many images of a particular demographic group (e.g., twenty pictures of males) while only including a single image of another class demographic group (e.g., a single picture of a female). However, the creator(s) of the slideshow may have hundreds or thousands of images of hundreds of members of the organization to choose to include in the slideshow. As a result, it may be overwhelming for the creator(s) of the slideshow to ensure that each member of the organization is adequately represented in the slideshow and that there are not some members that are overly represented in the yearbook. Therefore, there is a need in the art for ensuring a desired distribution of images for various demographic groups in a multimedia document (e.g., yearbook, slideshow, video, website).

The principles of the present invention provide a means for ensuring a desired distribution of images in a multimedia document among different demographic groups as discussed below in connection withFIGS. 3-5.FIG. 3is a diagram of the software components used in connection with ensuring a desired distribution of images in a multimedia document among different demographic groups.FIG. 4is a flowchart of a method for generating a desired statistical distribution of images in the multimedia document among demographic groups of the organization.FIG. 5is a flowchart of a method for ensuring a desired distribution of images in the multimedia document among different demographic groups of the organization.

As stated above,FIG. 3is a diagram of the software components used in connection with ensuring a desired distribution of images in a multimedia document among different demographic groups in accordance with an embodiment of the present invention. In one embodiment, these software components may reside in application204(FIG. 2).

The following provides a brief description of these software components. A more detailed description of these software components is provided below in conjunction withFIGS. 4-5, where their functionalities are discussed below in connection with the methods ofFIGS. 4 and 5.

Referring toFIG. 3, the software components include a configuration module301configured to form the demographic groups (e.g., members aged between 21-30 years old) of the organization using demographic criteria (e.g., age) provided by the user of computing device101.

The software components further include an analysis module302configured to analyze demographic information and the interests of the members (e.g., employees) of an organization (e.g., non-profit organization, company) to generate a statistical distribution of members of the organization that forms the desired distribution of content among the demographic groups of the organization. For example, if the demographic criteria was to form demographic groups based on age, then a statistical distribution of members of the organization based on age may appear as follows: aged 11-20 (5%); aged 21-30 (20%); aged 31-40 (40%); aged 41-50 (20%); aged 51-60 (10%); aged 61 and older (5%), where the percentage indicates a percentage of the members of the organization with an age in that corresponding demographic group.

Furthermore, the software components include a summary module303configured to record and store the generated statistical distribution of members of the organization for future use.

Additionally, the software components include a content input module304configured to receive content of a multimedia document (e.g., yearbook, slideshow, video, website) for analysis. The software component of content mining module305analyzes the contents of the multimedia document based on the demographic criteria provided by the user to determine the current distribution of content of the multimedia document among the demographic groups of the organization.

Furthermore, the software components include an alert module306configured to provide an indication to the user of computing device101regarding whether the current distribution of content among the demographic groups of the organization satisfies the desired distribution of content among the demographic groups.

A more detailed description of the functionalities of these software components is provided below in connection withFIGS. 4-5.

As stated above,FIG. 4is a flowchart of a method400for generating a desired statistical distribution of images in the multimedia document among demographic groups of the organization in accordance with an embodiment of the present invention.

Referring toFIG. 4, in conjunction withFIGS. 1-3, in step401, configuration module301receives demographic criteria (e.g., age, race, gender, department, interest, religion, family classification (e.g., brother, son, parent, child, adult), etc.) to form groups (referred to herein as “demographic groups”) of individuals or members within an organization (e.g., non-profit organization, company). For example, a user may input to computing device101one or more demographic criteria to be used to form demographic groups of members of an organization. For instance, the user may input the demographic criteria of age to be used to form demographic groups of members of an organization. As discussed further below, configuration module301may form demographic groups of members of the organization based on age, such as based on members being in their 20s, 30s, 40s, etc. Furthermore, the user may input multiple demographic criteria that may be used in combination to form demographic groups of members of the organization. For example, the user may input the demographic criteria of age and gender to be used to form demographic groups of members of an organization. As a result, a demographic group of females aged 11-20, a demographic group of males aged 11-20, a demographic group of females aged 21-30, a demographic group of males aged 21-30, etc. of those members of the organization that satisfy such criteria may be formed.

In step402, configuration module301retrieves the demographic information (e.g., age, gender, race) of members of the organization. Such information may be retrieved from profiles of the members stored at the organization's data center, such as in a database (e.g., database102)

In step403, configuration module301retrieves the interests of members of the organization. In one embodiment, the interests of members of the organization may be stored in profiles, such as at the organization's data center, such as in a database (e.g., database102). In another embodiment, configuration module301retrieves the interests of members of the organization via social networking sites, such as Facebook® and LinkedIn®.

In step404, analysis module302analyzes the member data, such as the demographic information and interests retrieved in steps402,403), within the constraints of the demographic criteria received in step401to generate a statistical distribution of members of the organization to form an initially desired distribution of content (e.g., images, video, text, voice) of the multimedia document among the demographic groups of the organization. The initial desired distribution of content of the multimedia document may be adjusted as discussed further below in connection with step504. For example, if the demographic criteria received in step401was to form demographic groups based on age, then a statistical distribution of members of the organization based on age may appear as follows: aged 11-20 (5%); aged 21-30 (20%); aged 31-40 (40%); aged 41-50 (20%); aged 51-60 (10%); aged 61 and older (5%), where the percentage indicates a percentage of the members of the organization with an age in that corresponding demographic group.

In another example, if the demographic criteria received in step401was to form demographic groups based on gender, then a statistical distribution of members of the organization based on age may appear as follows: male (65%) and female (35%), where the percentage indicates a percentage of the members of the organization with a gender in that corresponding demographic group.

In a further example, the user may provide multiple demographic criteria in step401to form demographic groups of members within the organization. For example, the user may indicate to use both age and gender as criteria for forming demographic groups of members within the organization. As a result, a statistical distribution of members of the organization based on age and gender may appear as follows: female aged 11-20 (5%); male aged 11-20 (10%); female aged 21-30 (10%); male aged 21-30 (15%); female aged 31-40 (10%); male aged 31-40 (20%); female aged 41-50 (5%); male aged 41-50 (10%); female aged 51-60 (3%); male aged 51-60 (6%); female aged 61 and older (2%); male aged 61 and older (4%), where the percentage indicates a percentage of the members of the organization with an age and gender in that corresponding demographic group.

In step405, summary module303stores the statistical distribution of members of the organization generated in step404, such as in database101, for future use.

As discussed above, the statistical distribution of members of the organization generated in step404forms the desired distribution of content (e.g., images, video, text, voice) of the multimedia document among the demographic groups of the organization as discussed below in connection withFIG. 5.

FIG. 5is a flowchart of a method500for ensuring a desired distribution of images in the multimedia document among different demographic groups of the organization in accordance with an embodiment of the present invention.

Referring toFIG. 5, in conjunction withFIGS. 1-4, in step501, content input module304receives the source images of the content of the multimedia document. These source images may provide the source of the content (e.g., pictures, weekly newspapers for the past six months) that was used by the user to create the multimedia document (e.g., yearbook, slideshow, video, website) that will be analyzed in step505as discussed below. Furthermore, these source images may include additional images that were not utilized by the user to create the multimedia document.

In step502, content input module304receives the content of the multimedia document (e.g., yearbook, slideshow, video, website) created by the user for analysis.

In step503, content input module304receives information pertaining to the content of the multimedia document from the user. For example, the user may indicate that the content (slides of a slideshow) pertains to football since the slideshow is a presentation of pictures taken at the Super Bowl party. Such information may be used by content input module304to adjust the stored statistical distribution of members of the organization generated in step404that formed the desired distribution of content (e.g., images, video, text, voice) of the multimedia document among the demographic groups of the organization.

In step504, content input module304optionally adjusts the stored statistical distribution of members (generated in step404) that form the desired distribution of content of the multimedia document among the demographic groups of the organization based on the received content information. For example, suppose that the demographic criteria received in step401was to form demographic groups based on gender and a statistical distribution of members of the organization based on age was generated as follows: male (65%) and female (35%), where the percentage indicates a percentage of the members of the organization with a gender in that corresponding demographic group. Based on the analysis of the member's interest in step404, content input module304may determine that out of the 1,000 employees, 700 of them are interested in football. Out of these 700 employees, computing device101determines that 80% of them are male and 20% of them are female based on gender information that may be obtained from their profile. As a result, the desired distribution of content of the multimedia document among the demographic groups of the organization may be modified to be male (80%) and female (20%). That is, the stored statistical distribution of members (generated in step404) that form the desired distribution of content of the multimedia document among the demographic groups of the organization is modified based on the received content information. The modified statistical distribution of members may be stored in database102.

In step505, content mining module305analyzes the content of the multimedia document based on the demographic criteria received in step401. For example, if the demographic criteria received in step401was to form demographic groups based on gender, then computing device101analyzes the content (e.g., pictures) for images of individual based on gender. In one embodiment, computing device101utilizes a face recognition algorithm that can determine a gender with a certain probability based on features of the shape of the face (males tend to have square-shaped faces with more intricate hairlines and slightly square jawlines as well as have longer faces at the bottom to accommodate a longer upper lip and lengthy chin), facial features (e.g., females' eyebrows are more arched and sit higher above the rims of the eyes, while males' eyebrows sit slightly above the brow bone) and bone structure (e.g., brow bossing is more pronounced in men, women tend to have foreheads that are more rounded and vertical, women tend to have higher cheekbones than men do, men tend to have hollower cheeks).

In another example, if the demographic criteria received in step401was to form demographic groups based on age, then computing device101analyzes the content (e.g., pictures) for images of individual based on age. For example, an age may be estimated using a face recognition algorithm by analyzing each section of the person's cheek, eye, brow, mouth and jowl looking for shading variations that signal lines, dark spots, drooping and other age-related changes in comparison with a known sample of images of individuals with a known age. In one embodiment, dot “landmarks” may be placed on the image to determine a target area. The dots are connected to make triangles where computing device101looks for variations in color and texture within each triangle. More variation than average within an area often indicates an older face. Major regions are considered and assigned ages. The combination results in a “perceived age.” Such major regions may include the forehead where horizontal creases and lines around the brow ridge may indicate age (more horizontal creases and lines the older the individual may be). Another major region is the brow region where vertical lines appear between the eyebrows in people who tend to furrow them (vertical lines may be used to indicate age). Another major region is the area around the eyes where crow's feet and bags below the eye can begin to appear in the mid-20s. Furthermore, a major region may be the nose area where the tip of the nose becomes more bulbous with age. The cheek/jowl area may be another major region where cheeks may start to sag with age and the wrinkles develop in the cheeks with age. The mouth may also be another major region where collagen declines making the lips thinner with age and the mouth begins to drop at the corners with age.

Other examples include estimating a person's ethnicity using facial recognition software that utilizes ethnicity-sensitive image features and probabilistic graphical models to represent ethnic classes. The ethnicity sensitive image features are derived from groups of image features so that each grouping of the image features contributes to more accurate recognition of the ethnic class. The ethnicity-sensitive image features can be derived from image filters that are matched to different colors, sizes, and shapes of facial features, such as eyes, mouth, or complexion. The ethnicity-sensitive image features serve as observable quantities in the ethnic class-dependent probabilistic graphical models, where each probabilistic graphical model represents one ethnic class. A given input facial image is corrected for pose and lighting, and ethnicity-sensitive image features are extracted. The extracted image features are fed to the ethnicity-dependent probabilistic graphical models to determine the ethnic class of the input facial image.

In step506, content mining module305determines the current distribution of the content of the multimedia document among the demographic groups (demographic groups formed in light of the demographic criteria received in step401) of the organization based on the analysis of step505. For example, content mining module305may determine that out of the 1,000 images analyzed, 700 of them were pictures of males and 300 of them were pictures of females.

In step507, a determination is made by content mining module305as to whether the current distribution of content among the demographic groups (demographic groups formed in light of the demographic criteria received in step401) of the organization satisfies the desired distribution of content among the demographic groups. For example, content mining module305may determine that out of the 100 slides of the slideshow, 70 slides depicted men and 30 slides depicted women. Such a content distribution (70 slides of men and 30 slides) may be compared to the desired distribution of content among the demographics groups of the organization, such as a statistical distribution of members of the organization based on age: male (65%) and female (35%). In such an example, the current distribution of content among the demographic groups of the organization does not satisfy the desired distribution of content among the demographic groups since 70% of the slides depict men as opposed to 65% and only 30% of the slides depict females as opposed to 35%. If, however, the content distribution of the slides of the slideshow were 65 slides depicting men and 35 slides depicting women, then the current distribution of content among the demographic groups of the organization may be said to satisfy the desired distribution of content among the demographic groups.

If the current distribution of content among the demographic groups (demographic groups formed in light of the demographic criteria received in step401) of the organization satisfy the desired distribution of content among the demographic groups, then, in step508, alert module306provides an indication (e.g., textual notification) that the current distribution of content satisfies the desired distribution of content among the demographic groups of the organization.

If, however, the current distribution of content among the demographic groups (demographic groups formed in light of the demographic criteria received in step401) of the organization does not satisfy the desired distribution of content among the demographic groups, then, in step509, alert module306provides an indication (e.g., textual notification) that the current distribution of content does not satisfy the desired distribution of content among the demographic groups of the organization.

In step510, content mining module305adjusts the content of the multimedia document to satisfy the desired distribution of content among the demographic groups of the organization. For example, content mining module305may provide images to the user from the source images of the content of the multimedia document (received in step501) to be added to the multimedia document to adjust the content of the multimedia document for a particular demographic group to satisfy the desired distribution of content for that demographic group of the organization when the current distribution of content for that demographic group does not satisfy the desired distribution of content for that demographic group. For instance, if the current distribution of slides in the slideshow includes 30 slides of women out of a total of 100 slides and the desired distribution of slides that include females is 35%, then content mining module305may provide additional images of females (e.g., five images) from the source images that have not been included in the multimedia document to the user to be added to the multimedia document to increase the number of slides depicting females. In one embodiment, content mining module305may utilize a facial recognition algorithm to identify appropriate images (e.g., images of females) from the source images to be added to the multimedia document.

In conjunction with providing images to be added to the multimedia document, content mining module305may provide images from the multimedia document to be deleted from the multimedia document to adjust the content of the multimedia document for a particular demographic group to satisfy the desired distribution of content for that demographic group of the organization when the current distribution of content for that demographic group does not satisfy the desired distribution of content for that demographic group. For instance, if the current distribution of slides in the slideshow include 70 slides of men out of a total of 100 slides and the desired distribution of slides that include males is 65%, then computing device101may provide images of males (e.g., five images) from the multimedia document to be deleted from the multimedia document to reduce the number of slides depicting males. In one embodiment, content mining module305may utilize a facial recognition algorithm to identify appropriate images (e.g., images of males) from the multimedia document to be deleted from the multimedia document.

In this manner, the user can ensure a desired distribution of content in the multimedia document (e.g., yearbook, slideshow, video, website) among different demographic groups.