Shot Descriptors Supporting Scene Segmentation

• Grant number: 12/19025-0
• Support Opportunities: Scholarships in Brazil - Master
• Start date: December 01, 2012
• End date: November 30, 2014
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Rudinei Goularte
• Grantee: Tamires Tessarolli de Souza Barbieri
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

The Content Personalization area has been the focus of researches and many scene segmentation techniques for digital video were proposed to assist the composition of personalization services, such as content recommendation or summarization. One of the main approaches for scene segmentation is based on clustering related shots. Thus, for this process to be successful is necessary to properly characterize the video shots. However, we can see that shot representation has been left in background for researches related to segmentation. Therefore, this project aims to develop a shot description method based on visual features of the frames, which enables to improve shot characterization and, consequently, the performance of scene segmentation techniques.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

BARBIERI, Tamires Tessarolli de Souza. Shot representation as support to scene segmentation. 2014. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.