Abstract: Systems and methods are directed to automatically creating customized whiteboard backgrounds. A network system accesses metadata associated with a virtual presentation (e.g., title, topic, tenant identifier). First image data is identified based on first data of the metadata and second image data is identified based on second data of the metadata. Using the first image data and the second image data, the network system generates a plurality of whiteboard backgrounds by combining a first object obtained from the first image data with a second object obtained from the second image data to form each whiteboard background. The network system then causes presentation of a representation of each of the plurality of whiteboard backgrounds on a user interface of a host, who can select one of the representations. In response to receiving a selection, a whiteboard background corresponding to the selected representation is displayed as background on a whiteboard canvas.

Abstract: Systems and methods are directed to automatically creating customized whiteboard backgrounds. A network system accesses metadata associated with a virtual presentation (e.g., title, topic, tenant identifier). First image data is identified based on first data of the metadata and second image data is identified based on second data of the metadata. Using the first image data and the second image data, the network system generates a plurality of whiteboard backgrounds by combining a first object obtained from the first image data with a second object obtained from the second image data to form each whiteboard background. The network system then causes presentation of a representation of each of the plurality of whiteboard backgrounds on a user interface of a host, who can select one of the representations. In response to receiving a selection, a whiteboard background corresponding to the selected representation is displayed as background on a whiteboard canvas.

Abstract: Systems and methods are directed to automatically creating customized whiteboard backgrounds. A network system accesses metadata associated with a virtual presentation (e.g., title, topic, tenant identifier). First image data is identified based on first data of the metadata and second image data is identified based on second data of the metadata. Using the first image data and the second image data, the network system generates a plurality of whiteboard backgrounds by combining a first object obtained from the first image data with a second object obtained from the second image data to form each whiteboard background. The network system then causes presentation of a representation of each of the plurality of whiteboard backgrounds on a user interface of a host, who can select one of the representations. In response to receiving a selection, a whiteboard background corresponding to the selected representation is displayed as background on a whiteboard canvas.

Abstract: Geotag data embedded in a photograph is converted to a multilevel hierarchical place name tag, which is a new data structure. Higher hierarchy levels correspond to larger geographical regions. Lower hierarchy levels correspond to smaller geographical regions. The geotag data is used to locate the photograph on a map. A cluster of nearby photographs is defined and represented by a consolidated pin. The identification and quantity of clustered photographs depends on the relative locations of the photographs and the map zoom level. A consolidated pin label is defined based on which hierarchy levels, if any, have a common place name tags. In some cases the consolidated pin label includes only place name tags that are shared amongst all clustered photographs. In other cases the consolidated pin label includes a short list of mutually exclusive place name tags. The consolidated pin label is displayed on the map near the consolidated pin.

Abstract: Systems and methods are disclosed for applying geo-tags to digital media items. In particular, in one or more embodiments, the disclosed systems and methods identify a plurality of digital media items lacking location information and group the plurality of digital media items into clusters based on one or more characteristics (e.g., time of capture). The systems and methods can modify the size and numbers of clusters of digital media items utilizing a clustering algorithm, clustering parameters, and a cluster adjustment control to approximate a location where the digital images were captured. Moreover, systems and methods provide a user interface for quickly and efficiently applying geo-tags to the clusters corresponding to the location.

Abstract: Geotag data embedded in a photograph is converted to a multilevel hierarchical place name tag, which is a new data structure. Higher hierarchy levels correspond to larger geographical regions. Lower hierarchy levels correspond to smaller geographical regions. The geotag data is used to locate the photograph on a map. A cluster of nearby photographs is defined and represented by a consolidated pin. The identification and quantity of clustered photographs depends on the relative locations of the photographs and the map zoom level. A consolidated pin label is defined based on which hierarchy levels, if any, have a common place name tags. In some cases the consolidated pin label includes only place name tags that are shared amongst all clustered photographs. In other cases the consolidated pin label includes a short list of mutually exclusive place name tags. The consolidated pin label is displayed on the map near the consolidated pin.

Abstract: Systems and methods are disclosed for applying geo-tags to digital media items. In particular, in one or more embodiments, the disclosed systems and methods identify a plurality of digital media items lacking location information and group the plurality of digital media items into clusters based on one or more characteristics (e.g., time of capture). The systems and methods can modify the size and numbers of clusters of digital media items utilizing a clustering algorithm, clustering parameters, and a cluster adjustment control to approximate a location where the digital images were captured. Moreover, systems and methods provide a user interface for quickly and efficiently applying geo-tags to the clusters corresponding to the location.