Abstract: A method includes: selecting a set of access points in a focus zone that identifies an area around the travel destination; determining access paths through one or more access points in the set of selected access points; listing crossings that the access paths pass through; for each of the listed crossings: determining a probability that the listed crossing is passed through by an access path; determining at least one complexity score of the listed crossing; determining a set of points of interest (POIs) along access paths passing through the listed crossing; and determining quality scores for the POIs, respectively, the quality score of one of the POIs reflecting a utility of that one of the POIs to facilitate orientation; selecting POIs from the set of POIs based on the quality scores; generating the access map including the access paths and the selected POIs; and outputting the access map.

Abstract: There is provided an approach for using street view images, captured from a selected geographical area, to obtain one or more of a landmark saliency score and a street crossing simplicity score, with each score reflecting a degree to which a computer-implemented circuit (including image recognition engines and a visual element matching module) can recognize and identify a landmark in at least one of the street view images. In turn, a navigational plan for a selected geographical area, including travel directions, is generated with the one or more of the landmark saliency score and the street crossing simplicity score.

Abstract: A method includes: selecting a set of access points in a focus zone that identifies an area around the travel destination; determining access paths through one or more access points in the set of selected access points; listing crossings that the access paths pass through; for each of the listed crossings: determining a probability that the listed crossing is passed through by an access path; determining at least one complexity score of the listed crossing; determining a set of points of interest (POIs) along access paths passing through the listed crossing; and determining quality scores for the POIs, respectively, the quality score of one of the POIs reflecting a utility of that one of the POIs to facilitate orientation; selecting POIs from the set of POIs based on the quality scores; generating the access map including the access paths and the selected POIs; and outputting the access map.

Abstract: A computer-implemented method for gathering knowledge within an organization for supporting the preparation, animation, and execution of a collaborative workshop for high speed and efficient document management and labeling. Printed documents are tracked within the system over a specified amount of time to acquire print job information from the jobs printed within an organization. Based upon the documents retrieved, a list of users is determined and invited to review and annotate the list of documents. The list of documents is then narrowed down to an optimized set for ease of labeling and clustering. Provision is made for user-annotation of the classification label associated with the submitted print jobs including a reason for printing the print job. User-annotations are received for at least some of the submitted print jobs. The print jobs may be clustered into clusters based on the print job representations and annotations.

Abstract: A system and method that supports the efficient interactive identification of the most paper intensive document categories such that a maximum number of the documents belonging to those categories can be correctly categorized with a minimum effort and within a minimum amount of time is disclosed. Further, an iterative method combining automatic grouping mechanisms with human labelling. The system and method are configured to allow the automatic machine labelling to run iteratively to generate improved document clustering and categorization.