Defining subjectivity in visual art audio description

Evaluating Visual Information Provided by Audio Description

MFA in Visual Art

ion) Same as F20 612F. First-year MFAs (only) register for F20 512F. This course examines strategies of abstraction and nonobjective image-making that originate in the painting studio, including those that are driven by concept, material, space and/ or process. Readings and discussion will examine the evolution and history of abstraction and its present applications within a contemporary studio...

Audio-visual Person Veriication Audio-visual Person Veriication

In this paper we investigate bene ts of classi er combination fusion for a multimodal system for personal identity veri cation The system uses frontal face images and speech We show that a sophisticated fusion strategy enables the system to outperform its facial and vocal modules when taken seperately We show that both trained linear weighted schemes and fusion by Support Vector Machine classi ...

Continuous Audio-visual Speech Recognition Continuous Audio-visual Speech Recognition

We address the problem of robust lip tracking, visual speech feature extraction, and sensor integration for audiovisual speech recognition applications. An appearance based model of the articulators, which represents linguistically important features, is learned from example images and is used to locate, track, and recover visual speech information. We tackle the problem of joint temporal model...

ISMIR 2004 Audio Description Contest

In this paper we report on the ISMIR 2004 Audio Description Contest. We first detail the contest organization, evaluation metrics, data and infrastructure. We then provide the details and results of each contest in turn. Published papers and algorithm source codes are given when originally available. We finally discuss some aspects of these contests and propose ways to organize future, improved...