Film genres in digital video can be detected automatically. In a three-step approach we analyze first the syntactic properties of digital films: color statistics, cut detection, camera motion, object motion and audio. In a second step we use these statistics to derive at a more abstract level film

Abstract Gesture-based interfaces, in which the user specifies commands by simple freehand drawings,offer an alternative to traditional keyboard, menu, and direct manipulation interfaces. The ability to specify objects, an operation, and additional parameters with a single intuitive gesture makesgesture-based systems appealing to both novice and experienced users.

In this paper we propose an automatic recognition system for wild flowers. Two photos, one of the flower and one of the leaves taken from directly above or at a close angle of a single wild flower, were used as a single set. The objective (flower, leaf) is extracted from each image using a

The project CL.E.A.R. (Cloudiness Experiment for Automatic Recognition) is a joint project between the ESTER outdoor Station of the University of Rome Tor Vergata and the Centre of Meteorological Experimentation (Re.S.M.A.) of Vigna di Valle. Its aim is to investigate the possibility of automatic

-visual automatic speech recognition and present novel contributions in two main areas: First, the visual front end design, based on a cascade of linear image transforms of an appropriate video region-of-interest, and subsequently, audio-visual speech integration. On the later topic, we discuss new work on feature

Abusive messages (flames) can be both a source of frustration and a waste of time for Internet users. This paper describes some approaches to flame recognition, including a prototype system, Smokey. Smokey builds a 47-element feature vector based on the syntax and semantics of each sentence

Polysemy is one of the major causes of difficulties in se- mantic clustering of words in a corpus. In this pal)er, we first; give a definition of polysemy from the viewpoint of clustering and then, based on this detinition, we prol)ose a clustering method which reeogniscs verbal 1)olysenfics fi'om a textual corpus. The results of experi,nensdemonstrate t;hc cffeetivencss of the prol) osed method.

study on the complexity of classifying simple musical instruments by their sound. Very little work has previously been done on this type of problem, except in the related fields of automatic speaker recognition [1], and pitch recognition [2]. We have arbitrarily chosen the following three acoustical

This paper is a progress report on a project in linguistically based automatic speech recognition, The domain of this project is English intonation. The system I will describe analyzes fundamental frequency contours (F0 contours) of speech in terms of the theory of melody laid out in Pierrehumbert

The process of ageing causes changes to the voice over time. There have been significant research efforts in the automatic speaker recognition community towards improving performance in the presence of everyday variability. The influence of long-term variability, due to vocal ageing, has received