In this work, we investigate the problem of learning knowledge from the massive community-
contributed images with rich weakly-supervised context information, which can benefit …

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 …

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 …

This paper presents a cross-modal approach for extracting semantic relationships between
concepts using tagged images. In the proposed method, we first project both text and visual …

Abstract Concept-based indexing, based on identifying various semantic concepts
appearing in multimedia, is an attractive option for multimedia retrieval and much research …

In recent years, weblogs (or blogs) have received great popularity worldwide, among which
video blogs (or vlogs) are playing an increasingly important role. However, research on vlog …

In this paper we present a framework for semantic annotation of soccer videos that exploits
an ontology model referred to as Dynamic Pictorially Enriched Ontology, where the ontology …

This article conducts user evaluation to study the performance difference between
interactive and automatic search. Particularly, the study aims to provide empirical insights of …

Cross-media retrieval is able to provide retrieval results with similar semantics but different
media to the query. Since cross-media retrieval complements currently popular text/content …

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