Multimedia-based ontology construction and reasoning have recently been recognized as
two important issues in video search, particularly for bridging semantic gap. The lack of …

This paper describes the construction and utilization of two novel semantic spaces, namely
ontology-enriched semantic space (OSS) and ontology-enriched orthogonal semantic space …

As it is true for human perception that we gather information from different sources in natural
and multi-modality forms, learning from multi-modalities has become an effective scheme for …

Automatic video search based on semantic concept detectors has recently received
significant attention. Since the number of available detectors is much smaller than the size of …

Effective utilization of semantic concept detectors for large-scale video search has recently
become a topic of intensive studies. One of main challenges is the selection and fusion of …

In this paper, we present a novel approach that utilizes noisy shot-level visual concept
detection to improve text-based video retrieval. As opposed to most of the related work in the …

Answering query with semantic concepts has long been the mainstream approach for video
search. Until recently, its performance is surpassed by concept-free approach, which …

This paper presents a fully-automatic method that combines video concept detection and
textual query analysis in order to solve the problem of ad-hoc video search. We present a set …

Though both quantity and quality of semantic concept detection in video are continuously
improving, it still remains unclear how to exploit these detected concepts as semantic …

Recent research has discovered that leveraging ontology is an effective way to facilitate
semantic video concept detection. As an explicit knowledge representation, a formal …