Content-based image retrieval system retrieves an image from a database using visual information. Among approaches to expressing visual aspects in queries, "query by sketch" is most convenient and expressive. However, the query drawn by the user is typically quite different from the target image. In this paper, a matching algorithm for imperfect queries is presented. The algorithm measures the ...

This paper explores the fusion of audio and visual evidences through a multi-level hybrid fusion architecture based on dynamic Bayesian network (DBN), which combines model level and decision level fusion to achieve higher performance. In model level fusion, a new audio-visual correlative model (AVCM) based on DBN is proposed, which describes both the intercorrelations and loose timing synchroni...

For many applications, it is very important to get an overview of database contents; and in the case of geographic database, a visual summary can be very helpful for a decision-maker or for any person in charge of a territory. To get such a visual summary, a two-step process is built, first a phase of spatial data mining process extracts geographic knowledge, and a second phase visualizes it by...

Automated visual surveillance has emerged as a trendy application domain in recent years. Many approaches have been developed on video processing and understanding. Content-based access to surveillance video has become a challenging research area. The results of a considerable amount of work dealing with automated access to visual surveillance have appeared in the literature. However, the event...

Effective management of data is a major issue in genomics. Genomics data consists of highly interrelated information about genes, proteins, patterns, classifications, and interactions. Graph databases, which model graphs or networks of data, seem a natural way to manage genomics data. Graph databases can support visualization of both queries and results by drawing on the broader field of graph ...

It has been shown that adding expressivity and emotional expressions to an agent’s communication systems would improve the interaction quality between this agent and a human user. In this paper we present a multimodal database of affect bursts, which are very short non-verbal expressions with facial, vocal, and gestural components that are highly synchronized and triggered by an identifiable ev...

STARzoom is a visualisation of a semantic hierarchical database utilising the hypernym structure from WordNet. It is also the search tool for that same database with which the user interacts in trying to visually chisel out a search query. The database contains the semantics from a large number of documents. The feedback from the system being the texts semantically closest to the query.

This paper presents a multimodal person identification system based on combination of audio and visual classifiers. The audio classifier was built by using mel-frequency cepstrum coefficient features and Gaussian mixture models. The visual classifier was implemented by Haar-like features and AdaBoost algorithm for face detection, and principal component analysis for identification. A new method...

We propose using a temporally ordered database for complex visual activity recognition. We use a temporal precedence relation together with the assumption of fixed bounded temporal uncertainty of occurrence time of an atomic activity and comparatively large temporal extent of the complex activity. Under these conditions we identify the temporal structure of complex activities as a semiorder and...

QGRAPH is a new visual language for querying and updating graph databases. In QGRAPH the user can draw a query consisting of some vertices and edges with specified relations between their attributes. The response will be the collection of all subgraphs of the database that have the desired pattern. QGRAPH is very useful for knowledge discovery. QGRAPH has a powerful and elegant counting feature...