In this paper, we investigate the problem of RGB-D egocentric action recognition. Unlike
conventional human action videos that are passively recorded by static cameras, egocentric …

Automatic event detection in a large collection of unconstrained videos is a challenging and
important task. The key issue is to describe long complex video with high level semantic …

Recently, the intellectual property and information retrieval communities have shown
increasing interest in patent image retrieval, which could further enhance the current …

Searching for the co-occurrence of two visual concepts in unlabeled images is an important
step towards answering complex user queries. Traditional visual search methods use …

Search reranking is regarded as a common way to boost retrieval precision. The problem
nevertheless is not trivial especially when there are multiple features or modalities to be …

Video surveillance systems have become extremely important recently. It has been
observed that information extracted from a single spectrum video is often insufficient in …

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 …

Video analysis is an important branch of computer vision due to its wide applications,
ranging from video surveillance, video indexing, and retrieval to human computer …

Using the voice to interact with systems is attractive in medicine and other areas due to its
friendliness and flexibility. Video indexing and retrieval have benefited from this resource …

Abstract Recent Large-Scale Multimedia Retrieval (LSMR) methods seem to heavily rely on
analysing a large amount of data using high-performance machines. This paper aims to …