Face-and-clothing based people clustering in video content
Proceedings of the international conference on Multimedia information retrieval
| Hi-index | 0.00 |
This article focuses on video document comparison using audiovisual production invariants (API). API are characterized by invariant segments obtained on a set of low-level features. We propose an algorithm to detect production invariants throughout a collection of audiovisual documents. The algorithm runs on low-level features, considered as time series, and extracts invariant segments using a one-dimensional morphological envelop comparison. Then, based on the extracted results, we define a style similarity measure between two video documents. A derivative pseudo distance is also proposed. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 747–763, 2006.