Structural information, on the form of shot patterns and timing, plays an important role in scripted video, being consistently used by filmmakers as a way to convey meaning and significance into their work. For this reason, a video retrieval system can benefit from exploiting this kind of information. In this paper we propose a novel method for the retrieval of video scenes according to their structural similarity, based on graph-theoretical measures and vector quantization techniques. We show the results of our method in some scene retrieval experiments on a data set of 802 movie scenes, extracted from a set of 180 mainstream movies.
Titolo: | Retrieval of video scenes by structural descriptors |
Autori: | |
Data di pubblicazione: | 2010 |
Serie: | |
Abstract: | Structural information, on the form of shot patterns and timing, plays an important role in scripted video, being consistently used by filmmakers as a way to convey meaning and significance into their work. For this reason, a video retrieval system can benefit from exploiting this kind of information. In this paper we propose a novel method for the retrieval of video scenes according to their structural similarity, based on graph-theoretical measures and vector quantization techniques. We show the results of our method in some scene retrieval experiments on a data set of 802 movie scenes, extracted from a set of 180 mainstream movies. |
Handle: | http://hdl.handle.net/11379/34491 |
ISBN: | 9781424478484 9788890532801 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
File | Descrizione | Tipologia | Licenza | |
---|---|---|---|---|
CBL_WIAMIS-2010_full-text.pdf | CBL_WIAMIS-2010_full-text | Full Text | ![]() | Open Access Visualizza/Apri |