Image Filtering via Classification and Spot Selection

The patent introduces an intermediary classification system between the user and the image database. Instead of requiring users to directly specify geographic spots, the system provides classification-based filtering as an intermediate step. Users can select images by classification categories (e.g., event types, photo types) which then narrows down the search space before optional spot specification, making the filtering process more intuitive and less complex while maintaining precision.

The patent segments the image filtering process into multiple independent dimensions: classification-based filtering and spot-based filtering. Instead of relying on a single spot specification, the system divides the filtering task into classification categories (event types, photo types) and geographic locations. Users can apply classification filters first to narrow down by content type, then optionally refine by spot, ensuring that desired images are not excluded due to overly restrictive spot specifications alone.

The patent implements preliminary classification and organization of images by multiple categories (event types, photo types, locations) before the user performs the destination determination task. This preliminary action structures the large quantity of images into organized groups, making it easier for users to navigate and select destinations. The classification system prepares the data in advance so that when users need to determine a destination, they can efficiently browse categorized images rather than searching through all stored images indiscriminately.