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 …

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

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 …

In this work, we systematically study the problem of visual event recognition in
unconstrained news video sequences. We adopt the discriminative kernel-based method for …

The main aim of this paper is to introduce a novel spatio-temporal model of video matching.
This model uses information on image object spatial relationship in frames as well as …

Content-based event retrieval in unconstrained web videos, based on query tags, is a hard
problem due to large intra-class variances, and limited vocabulary and accuracy of the 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 …

In this work, we systematically study the problem of event recognition in unconstrained news
video sequences. We adopt the discriminative kernel-based method for which video clip …

This paper considers a learnable approach for comparing and aligning videos. Our
architecture builds upon and revisits temporal match kernels within neural networks: we …