Research Article
We present a probabilistic model for the retrieval of multimodal documents. The model is based on Bayesian decision theory and combines models for text-based search with models for visual search. The textual m...
EURASIP Journal on Advances in Signal Processing 2003 2003:985676
Published on: 25 February 2003
Research Article
Accessing information in multimedia databases encompasses a wide range of applications in which spoken document retrieval (SDR) plays an important role. In SDR, a set of automatically transcribed speech docume...
EURASIP Journal on Advances in Signal Processing 2003 2003:863836
Published on: 25 February 2003
Research Article
One rapidly expanding application area for state-of-the-art speech recognition technology is the automatic processing of broadcast audiovisual data for information access. Since much of the linguistic informat...
EURASIP Journal on Advances in Signal Processing 2003 2003:642019
Published on: 25 February 2003
Research Article
Information retrieval tasks such as document retrieval and topic detection and tracking (TDT) show little degradation when applied to speech recognizer output. We claim that the robustness of the process is be...
EURASIP Journal on Advances in Signal Processing 2003 2003:980946
Published on: 25 February 2003
Research Article
The amount of digital video being shot, captured, and stored is growing at a rate faster than ever before. The large amount of stored video is not penetrable without efficient video indexing, retrieval, and br...
EURASIP Journal on Advances in Signal Processing 2003 2003:182545
Published on: 25 February 2003
Research Article
Today′s content-based video retrieval technologies are still far from human′s requirements. A fundamental reason is the lack of content representation that is able to bridge the gap between visual features and...
EURASIP Journal on Advances in Signal Processing 2003 2003:141352
Published on: 25 February 2003
Research Article
We propose a novel feature selection method based on a variable memory Markov (VMM) model. The VMM was originally proposed as a generative model trying to preserve the original source statistics from training ...
EURASIP Journal on Advances in Signal Processing 2003 2003:850172
Published on: 25 February 2003
Research Article
We present a learning-based approach to the semantic indexing of multimedia content using cues derived from audio, visual, and text features. We approach the problem by developing a set of statistical models f...
EURASIP Journal on Advances in Signal Processing 2003 2003:987184
Published on: 25 February 2003
Research Article
Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classific...
EURASIP Journal on Advances in Signal Processing 2003 2003:453751
Published on: 25 February 2003
Research Article
In this paper, we focus on video programs that are intended to disseminate information and knowledge such as news, documentaries, seminars, etc, and present an audiovisual summarization system that summarizes ...
EURASIP Journal on Advances in Signal Processing 2003 2003:102838
Published on: 25 February 2003
Research Article
This paper proposes a statistical approach to automatic speech summarization. In our method, a set of words maximizing a summarization score indicating the appropriateness of summarization is extracted from au...
EURASIP Journal on Advances in Signal Processing 2003 2003:980626
Published on: 25 February 2003
Research Article
EURASIP Journal on Advances in Signal Processing 2003 2003:850208
Published on: 25 February 2003
