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.
2001
0769511988
9780769511986
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/10215
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