Information classification device, information classification method and program for the same

Abstract

Disclosed is an information classification device which enables classification into groups comprising content having close imaging locations, without requiring adjustment of weight in the time direction by a user. The information classification device is provided with: a storage section (2) which stores group number information and a plurality of content items including imaging time information and imaging location information; and a classification section (3) which classifies the plurality of content items into groups having numbers denoted by the group number information. The classification section (3) generates, in accordance with a plurality of imaging location information items, a first group wherein each item of content is integrated with a group number denoted by the group number information. If it is confirmed by using a plurality of imaging time information items that within the first group generated there is a second group including temporally discontinuous content, the second group is divided into a plurality of subgroups including content for which temporal continuity is ensured, and the distance with regard to the content included in the subgroups is amended to separate the divided subgroups.

Description

technical field [0001] The present invention relates to an information classifying device, an information classifying method and its program, and more particularly to an information classifying device and an information classifying method for classifying the content of still pictures or moving pictures captured by a photographing device such as a digital still camera, a mobile phone with a camera, or a video camera. and its procedures. Background technique [0002] In recent years, imaging devices for capturing digital images, such as digital still cameras for personal use, mobile phones with cameras, and video cameras, have spread rapidly. In such a photographing device, a user can photograph a large amount of content due to an increase in its storage capacity. But on the other hand, it is difficult to browse all the captured content within a limited time, and it is also difficult to efficiently browse the desired content after overlooking the entire content. [0003] In ...

AI Technical Summary

Problems solved by technology

Therefore, in order to classify content into groups consisting of content close to the shooting location while ensuring the continuity of shooting time, the user needs to repeatedly perform complicated and arbitrary operations such as adjusting the degree of weighting.

Images