Sloth search system

Abstract

In this paper, we present the Sloth Search System (SSS) for large scale video browsing. Our key concept is to apply object recognition and scene classification to generate keyword tags from video images. This indexing process is performed only on selected frames for faster processing. The keyword tags are used to retrieve videos from a text-based query. Additional feature signatures are also used to extract spatial and color information. These proposed signatures are stored as binary codes for a compact representation and for fast search. Such a representation allows users to search by drawing a sketch or a bounding box of a specific object.