Emmanuel Veneau

• Doctor of Engineering
• Formateur at Université Toulouse - Jean Jaurès

INTRODUCTION 1.1. In search of the semantic content of images Content-based image retrieval (CBIR) has been a widely studied issue [1,2,3], among multimedia database management techniques. Image databases managementhave applications in various areas, such as medical databases, satellite images, photo-journalism, art, or industry, with a growing dem...

Automatically building high-level segments to structure information in video documents is a challenging task. This paper presents a method based on the cophenetic criterion, a distance between clustered shots which detects breaks between sequences. It describes and compares various implemented options. Experiments have proved that the proposed crit...

Segmenting video documents into sequences from elementary shots to supply an appropriate higher level description of the video is a challenging task. The paper presents a two-stage method. First, we build a binary agglomerative hierarchical time-constrained shot clustering. Second, based on the cophenetic criterion, a breaking distance between shot...

We present a video analysis and indexing engine, that can perform fully automatic scene segmentation and feature extraction, in the context of a television archive, based on a library of image analysis functions and templates.

Recent works have shown that biologically motivated net works of spiking neurons can potentially process information very quickly by encoding information in the latency at which different neurons fire, rather than by using frequency of firing as the code. In this paper, the relevant information is the rank vector of latency order of competing neuro...