A discriminative CNN video representation for event detection
In this paper, we propose a discriminative video representation for event detection over a
large scale video dataset when only limited hardware resources are available. The focus of …
large scale video dataset when only limited hardware resources are available. The focus of …
Exploring inter-feature and inter-class relationships with deep neural networks for video classification
Videos contain very rich semantics and are intrinsically multimodal. In this paper, we study
the challenging task of classifying videos according to their high-level semantics such as …
the challenging task of classifying videos according to their high-level semantics such as …
Video2vec embeddings recognize events when examples are scarce
A Habibian, T Mensink… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper aims for event recognition when video examples are scarce or even completely
absent. The key in such a challenging setting is a semantic video representation. Rather …
absent. The key in such a challenging setting is a semantic video representation. Rather …
Composite concept discovery for zero-shot video event detection
We consider automated detection of events in video without the use of any visual training
examples. A common approach is to represent videos as classification scores obtained from …
examples. A common approach is to represent videos as classification scores obtained from …
How related exemplars help complex event detection in web videos?
Compared to visual concepts such as actions, scenes and objects, complex event is a
higher level abstraction of longer video sequences. For example, a" marriage proposal" …
higher level abstraction of longer video sequences. For example, a" marriage proposal" …
Event detection with zero example: Select the right and suppress the wrong concepts
Complex video event detection without visual examples is a very challenging issue in
multimedia retrieval. We present a state-of-the-art framework for event search without any …
multimedia retrieval. We present a state-of-the-art framework for event search without any …
A new framework for quality assessment of high-resolution fingerprint images
RFS Teixeira, NJ Leite - IEEE transactions on pattern analysis …, 2016 - ieeexplore.ieee.org
The quality assessment of sets of features extracted from patterns of epidermal ridges on our
fingers is a biometric challenge problem with implications on questions concerning security …
fingers is a biometric challenge problem with implications on questions concerning security …
Video event detection using motion relativity and feature selection
F Wang, Z Sun, YG Jiang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Event detection plays an essential role in video content analysis. In this paper, we present
our approach based on motion relativity and feature selection for video event detection. First …
our approach based on motion relativity and feature selection for video event detection. First …
Audio-based multimedia event detection with DNNs and sparse sampling
This paper presents advances in analyzing audio content information to detect events in
videos, such as a parade or a birthday party. We developed a set of tools for audio …
videos, such as a parade or a birthday party. We developed a set of tools for audio …
ISOMER: Informative segment observations for multimedia event recounting
This paper describes a system for multimedia event detection and recounting. The goal is to
detect a high level event class in unconstrained web videos and generate event oriented …
detect a high level event class in unconstrained web videos and generate event oriented …