In this paper, three techniques for video sequence retrieval which use statistical measures of color patterns in shots are pro- posed and compared. The first technique is based on a correla- tion of the MPEG7 Dominant Color Descriptor (DC) [6] as single characteristic feature of a shot. The second approach is to model color pattern distribution in a shot with a codebook, obtained by VQ (Vector Quantization) of the frame blocks composing the shot. The last one models the color pattern distribution using a GMM (Gaussian Mixture Model). Such descriptors are used to establish correspondence between non consecutive camera records through an appropriately designed similarity measure. As such, a new dis- tance measure is used in the comparison between the shot descrip- tors, by extending the metric proposed in [9]. A comparison is made of the dissimilarity performance associated with each of the three proposed descriptors, demonstrating the superior results ob- tainable with the VQ based approach.
Evaluation of Different Descriptors for Identifying Similar Video Shots
ADAMI, Nicola;LEONARDI, Riccardo;
2001-01-01
Abstract
In this paper, three techniques for video sequence retrieval which use statistical measures of color patterns in shots are pro- posed and compared. The first technique is based on a correla- tion of the MPEG7 Dominant Color Descriptor (DC) [6] as single characteristic feature of a shot. The second approach is to model color pattern distribution in a shot with a codebook, obtained by VQ (Vector Quantization) of the frame blocks composing the shot. The last one models the color pattern distribution using a GMM (Gaussian Mixture Model). Such descriptors are used to establish correspondence between non consecutive camera records through an appropriately designed similarity measure. As such, a new dis- tance measure is used in the comparison between the shot descrip- tors, by extending the metric proposed in [9]. A comparison is made of the dissimilarity performance associated with each of the three proposed descriptors, demonstrating the superior results ob- tainable with the VQ based approach.File | Dimensione | Formato | |
---|---|---|---|
ALW_ICME-2001_full-text.pdf
solo utenti autorizzati
Descrizione: ALW_ICME-2001_full-text
Tipologia:
Full Text
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
260.78 kB
Formato
Adobe PDF
|
260.78 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.