In various example embodiments, a system and method for identifying top attributes are presented. Text content from an electronic document describing a product is extracted. A plurality of attributes associated with the product are identified using the extracted text content. A descriptor word proximate to each of the plurality of attributes in the extracted text content is detected. A weight is assigned to each descriptor word proximate to each of the plurality of attributes. The plurality of attributes are ranked based on the weight of the descriptor word proximate to each of the plurality of attributes. A predetermined number of top ranked attributes from the plurality of attributes are caused to be presented. Further, an image associated with each of the top ranked attributes is determined, the image being designated as a visual representation of the corresponding top ranked attribute. The image is caused to be displayed in association with the product on a user interface.

A mesh of existing infrastructures is usable to identify user identities and communications devices with physical objects (e.g., transportation vehicles, apparel, etc.). A system can receive image data representative of images of physical objects captured (e.g., by a camera) at locations. The system can also receive signal data representative of signals from communications devices. Based on time data and location data associated with the image data and the signal data, the system can, after multiple iterations, determine whether one of the physical objects is correlated with one of the communications devices. In response to a correlation, the system can store in a record data (e.g., a container, database, etc.) data elements representative of the physical object and a second data element associated with the communications device.

A mesh of existing infrastructures is usable to identify user identities and communications devices with physical objects (e.g., transportation vehicles, apparel, etc.). A system can receive image data representative of images of physical objects captured (e.g., by a camera) at locations. The system can also receive signal data representative of signals from communications devices. Based on time data and location data associated with the image data and the signal data, the system can, after multiple iterations, determine whether one of the physical objects is correlated with one of the communications devices. In response to a correlation, the system can store in a record data (e.g., a container, database, etc.) data elements representative of the physical object and a second data element associated with the communications device.

Content creation suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in the creation of content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In a first such example, suggestions are based on shared characteristics of images obtained by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are generated by the content sharing service based on keywords used to locate the images. In a further example, suggestions are generated based on data described communications performed using social network services. In yet another example, recognition of failure of search is used to generate suggestions. A variety of other examples are also contemplated and described herein.

Content creation suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in the creation of content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In a first such example, suggestions are based on shared characteristics of images obtained by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are generated by the content sharing service based on keywords used to locate the images. In a further example, suggestions are generated based on data described communications performed using social network services. In yet another example, recognition of failure of search is used to generate suggestions. A variety of other examples are also contemplated and described herein.

A method for counting and tracking defined objects includes the step of receiving subset data with a data capturing device , wherein the subset data is associated with defined objects and includes a unique identifier, an entry time, an exit time, and location data for each defined object. The method further includes the steps of receiving subset data at a counting system, counting the defined objects, tracking the defined objects, associating a location of a defined object with a predefined area, and/or generating path data by plotting X and Y coordinates for the defined object within the predefined area at sequential time periods.

There is provided a transmitting device (100), receiving device (200) and methods of operating the devices. The transmitting and receiving devices (100, 200) each comprise a local database (102, 202) configured to store a plurality of images received in from a central database (302), each with an associated unique identifier code. A control unit (104) of the transmitting device (100) is configured to receive a request for retrieval of a unique identifier code associated with an image stored in its local database (102), retrieve from the local database (102) the unique identifier code associated with the image, and transmit the retrieved unique identifier code to the receiving device (200). A control unit (204) of the receiving device (200) is configured to receive the transmitted unique identifier code and retrieve from its local database (202) a corresponding image associated with a stored unique identifier code that matches the received unique identifier code.

Disclosed are a system, method and software to associate attributes with digital media assets. Digital media contains specific assets, such as images, that can be replaced with other assets. The system, method and software permit the association of attributes with specific assets. The association of attributes and assets enables the provision of content that is enhanced and more impacting for a user.

Disclosed are a system, method and software to associate attributes with digital media assets. Digital media contains specific assets, such as images, that can be replaced with other assets. The system, method and software permit the association of attributes with specific assets. The association of attributes and assets enables the provision of content that is enhanced and more impacting for a user.

A control method of an information terminal causes a display to display a display screen which includes a first display region and a second display region. The first display region displays an object medical image. The second display region displays M number of similar medical images and includes ND number of individual regions for displaying the M number of the similar medical images. When an instruction from one or more instruction buttons is detected, a display size of each corresponding region of interest that is included in the second number of the similar medical images is changed while maintaining a size of each of the individual regions in the second display region, and each of the similar medical images is magnified at a magnification ratio of a reference thumbnail.