Hierarchical representation of video sequences for annotation
Mendi, Engin
Loading
Abstract
Video annotation is an important issue in video content management
systems. Rapid growth of the digital video data has created a need for
efficient and reasonable mechanisms that can ease the annotation
process. In this paper, we propose a novel hierarchical clustering based
system for video annotation. The proposed system generates a top-down
hierarchy of the video streams using hierarchical k-means clustering. A
tree-based structure is produced by dividing the video recursively into
sub-groupss, each of which consists of similar content. Based on the
visual features, each node of the tree is partitioned into its children
using k-means clustering. Each sub-group is then represented by its key
frame, which is selected as the closest frame to the centroids of the
corresponding cluster, and then can be displayed at the higher level of
the hierarchy. The experiments show that very good hierarchical view of
the video sequences can be created for annotation in terms of
efficiency. (C) 2014 Elsevier Ltd. All rights reserved.... Show more Show less