We propose a fast event retrieval method in video databases based on temporal match
kernel. The basic idea of the baseline is to maximize the score function for all possible …

This paper presents a method that embeds stability-sensitive filter in the temporal matching
kernel with explicit feature maps (TE). The added filter improves the robustness of TE to …

This paper proposes a framework for content-based video retrieval that addresses various
tasks as particular event retrieval, copy detection or video synchronization. Given a video …

This paper presents an approach for large-scale event retrieval. Given a video clip of a
specific event, eg, the wedding of Prince William and Kate Middleton, the goal is to retrieve …

This paper makes two complementary contributions to event retrieval in large collections of
videos. First, we propose hyper-pooling strategies that encode the frame descriptors into a …

In this paper, we propose an event retrieval support system that quickly finds videos in a
large database based on user-entered content. The system addresses the challenges of …

In this paper, an efficient and effective framework is proposed for news video retrieval.
Firstly, the 64-dimensional colour histogram is extracted as the feature vector. Then the pair …

In this paper, we propose a new algorithm to find video clips with different temporal
durations and some spatial variations. We adopt a longest common sub-sequence (LCS) …

We address the problem of specific video event retrieval. Given a query video of a specific
event, eg, a concert of Madonna, the goal is to retrieve other videos of the same event that …

In this paper we present a novel approach to improve temporal matching kernel (TMK) for
video retrieval tasks. TMK has the ability to align videos during retrieval, but provides little to …