Many sequential prediction tasks involve locating instances of patterns in sequences. Generative probabilistic language models, such as hidden Markov models (HMMs), have been successfully applied to m...
Local binary pattern (LBP) operator is defined as gray-scale invariant texture measure. The LBP operator is a unifying approach to the traditionally divergent statistical and structural models for tex...
Large video collections present a unique set of challenges to the search system designer. Text transcripts do not always provide an accurate index to the visual content, and the performance of visuall...
It is common practice in audiovisual archives to disclose documents using metadata from a structured vocabulary or thesaurus. Many of these thesauri have limited or no structure. The objective of this...
Information Retrieval is a supporting technique which underpins a broad range of content-based applications including retrieval, filtering, summarisation, browsing, classification, clustering, automat...
In this paper, we describe an image collection created for the CLEF cross-language image retrieval track (ImageCLEF). This image retrieval benchmark (referred to as the IAPR TC-12 Benchmark) has devel...
In this paper, the most recent version of the system developed by the SCHEMA NoE, termed SCHEMA Reference System, is presented. The Reference System adopts a module-based, expandable architecture, wit...
In this paper, several strategies for cross-language image indexing and terminological glossary compilation are presented. The process starts form a source language indexed image. CBIR is proposed as ...
In this paper we report on our work in realising an approach to video shot matching which involves automatically segmenting video into abstract intertwinded shapes in such a way that there is temporal...
In this article an XML-driven approach for multimedia information retrieval is presented and evaluated, which uses principal component analysis to derive a composite ranking for a set of XML elements ...
In the boom of the big-data era, social media, 5g, High-speed Internet, and High-Tech Vision equipment have resulted in an enormous amount of video data production at an alarming speed. A fast and eff...
In many archives of audiovisual documents, retrieval is done using metadata from a structured vocabulary or thesaurus. In practice, many of these thesauri have limited or no structure. The objective o...
Image annotation, i.e. mapping words into images, is currently a major research problem in image retrieval. In particular, images are usually segmented into a number of regions, and then low-level ima...
How to bridge the semantic gap is currently a major research problem in Content-Based Image Retrieval (CBIR). Most applications are based on supervised machine-learning classifiers to match images wit...
Finding relevant video content is important for producers of television news, documentanes and commercials. As digital video collections become more widely available, content-based video retrieval too...
Content-based copy detection (CBCD) is widely used in copyright control for protecting unauthorized use of digital video and its key issue is to extract robust fingerprint against different attacked v...
As human attention is an effective mechanism for information prioritizing and selecting, it provides a practical approach for intelligent shot similarity matching. In this paper, we propose an attenti...
A hermetic motor protector (10) has a non-current carrying snap-acting thermostatic disc (26) freely disposed on a disc seat (22a) having a tab (22c) projecting through a centrally located aperture (2...