Automatic Video Scene Segmentation Based on Shot Coherence

• Grant number: 11/16796-3
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2012
• End date: August 31, 2013
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Rudinei Goularte
• Grantee: Tiago Henrique Trojahn
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

The objective of this project is to develop a technique for automatic segmentation of uncompressed video into scenes based in the technique know as Backward Shot Coherence (BSC). The proposal seeks to relace the motion vectors of BSC for other types of information, with more semantic content, more useful task of content personalizaton performed by a semiautomatic framework developed in a related project. These informations can be obtained by using Wavelets (texture and location of objects in the image) or bag of Features, which provides the latent semantic on the classification of an image. As contributions, this proposal would: provide a new technique for automatic scene segmentation, video; would make the personalization framework automatic; would provide useful semantic informations to personalization tasks of the framework.

Academic Publications

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

TROJAHN, Tiago Henrique. Automatic scenes video segmentation based on shot coherence. 2014. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.