Spiking neural networks perform reasonably well in recognition applications for single
modality (eg, images, audio, or text). In this paper, we propose a multimodal spiking neural …

In this paper, we present an advanced news video parsing system via exploring the visual
characteristics of anchorperson scenes, which aims to provide personalized news services …

Despite of much evidence suggesting how and where sensory information converge in the
human brain, the neural mechanisms of interaction among modalities at the level of …

Anchorperson segment detection enables efficient video content indexing for information
retrieval. Anchorperson detection based on audio analysis has gained popularity due to …

News production is characterised by complex and dynamic workflows as it is important to
produce and distribute news as soon as possible and in an audiovisual quality as good as …

Automatic identification of TV programs within TV streams is an important task for archive
exploitation. This paper proposes a new spatial-temporal approach to identify programs in …

Personal information consumption became more and more important due to the huge
number of existing information channels and the broad range of available information. While …

Deep learning models have become the de-facto solution in various fields like computer
vision, natural language processing, robotics, drug discovery, and many others. The …

In this paper, we propose a new approach to identify programs in TV streams. In the first step
of our approach, we construct a reference catalogue for video grammars of visual jingles. In …

In this paper, a refined ASD algorithm in MPEG compressed domain is proposed. The new
method is expected to outperform the existing strategies based on the following two …