Bi-level semantic representation analysis for multimedia event detection
Multimedia event detection has been one of the major endeavors in video event analysis. A
variety of approaches have been proposed recently to tackle this problem. Among others …
variety of approaches have been proposed recently to tackle this problem. Among others …
Event-based media processing and analysis: A survey of the literature
Research on event-based processing and analysis of media is receiving an increasing
attention from the scientific community due to its relevance for an abundance of applications …
attention from the scientific community due to its relevance for an abundance of applications …
Linear maximum margin classifier for learning from uncertain data
In this paper, we propose a maximum margin classifier that deals with uncertainty in data
input. More specifically, we reformulate the SVM framework such that each training example …
input. More specifically, we reformulate the SVM framework such that each training example …
[PDF][PDF] ITI-CERTH participation to TRECVID 2013.
This paper provides an overview of the runs submitted to TRECVID 2015 by ITI-CERTH.
ITICERTH participated in the Semantic Indexing (SIN), Multimedia Event Detection (MED) …
ITICERTH participated in the Semantic Indexing (SIN), Multimedia Event Detection (MED) …
Learning to detect video events from zero or very few video examples
In this work we deal with the problem of high-level event detection in video. Specifically, we
study the challenging problems of i) learning to detect video events from solely a textual …
study the challenging problems of i) learning to detect video events from solely a textual …
Event detection using multi-level relevance labels and multiple features
We address the challenging problem of utilizing related exemplars for complex event
detection while multiple features are available. Related exemplars share certain positive …
detection while multiple features are available. Related exemplars share certain positive …
Video event detection using kernel support vector machine with isotropic gaussian sample uncertainty (KSVM-iGSU)
In this paper, we propose an algorithm that learns from uncertain data and exploits related
videos for the problem of event detection; related videos are those that are closely …
videos for the problem of event detection; related videos are those that are closely …
An efficient multi-feature SVM solver for complex event detection
Multimedia event detection (MED) has become one of the most important visual content
analysis tools as the rapid growth of the user generated videos on the Internet. Generally …
analysis tools as the rapid growth of the user generated videos on the Internet. Generally …
一种基于交叉特征学习的复杂事件检测算法.
武俊芳， 郭英 - Research & Exploration in Laboratory, 2016 - search.ebscohost.com
摘! 要: 提i²# 9 进的事件检测算法, 通过交Ê 特征学习实现相关样& 的自适应利用.
首先将相关性水平Ë 成是有序标Ì, 利用标ÌÍ 选集中相Î 两个相关性标Ì 的最大容限准则进行模型 …
首先将相关性水平Ë 成是有序标Ì, 利用标ÌÍ 选集中相Î 两个相关性标Ì 的最大容限准则进行模型 …
Incremental accelerated kernel discriminant analysis
N Gkalelis, V Mezaris - Proceedings of the 25th ACM international …, 2017 - dl.acm.org
In this paper a novel incremental dimensionality reduction (DR) technique called
incremental accelerated kernel discriminant analysis (IAKDA) is proposed. Consisting of the …
incremental accelerated kernel discriminant analysis (IAKDA) is proposed. Consisting of the …