Work

LIG at MediaEval 2015 Multimodal Person Discovery in Broadcast TV Task

Year: 2015

Type: conference-paper

Abstract: In this working notes paper the contribution of the LIG team (partnership between Univ. Grenoble Alpes and Ozyegin University) to the Multimodal Person Discovery in Broadcast TV task in MediaEval 2015 is presented. The task focused on unsupervised learning techniques. Two different approaches were submitted by the team. In the first one, new features for face and speech modalities were tested. In the second one, an alternative way to calculate the distance between face tracks and speech segments is presented. It also had a competitive MAP score and was able to beat the baseline.

Source: HAL

Authors: Budnik, Mateusz, Safadi, Bahjat, Besacier, Laurent, Quénot, Georges, Khodabakhsh, Ali, Demiroglu, Cenk

Institutions: Laboratoire d'Informatique de Grenoble, Institut Universitaire de France, Istanbul University

Language: English

Topic: Video Analysis and Summarization

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2406838774

FWCI: 0.267

Cites: 6

Cited by: 2

Related to: 10