Topics
graphical modelPerson
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolation to each other and exploiting this relationship between multiple video concepts could be a useful source to improve the concept detection accuracy. In this paper, we describe various multi-concept relational learning approaches via a unified probabilistic graphical model represen-tation and propose using numerous graphical models to mine the relationship between video concepts that have not been applied be-fore. Their performances in video semantic concept detection are evaluated and compared on two TRECVID’05 video collections. 1
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approa...
In automatic video content analysis domain, the key challenges are how to recognize important object...
Effective and efficient video retrieval has become a pressing need in the big video era and how to...
According to some current thinking, a very large number of semantic concepts could provide researche...
Abstract In this paper we describe a multi-strategy approach to improving semantic extraction from n...
A video captures a sequence and interactions of concepts that can be static, for instance, objects o...
A video captures a sequence and interactions of concepts that can be static, for instance, objects o...
The automatic analysis and indexing of multimedia content in general domains are im-portant for a va...
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper ...
We propose a new method to boost the performance of video annotation by exploiting concept relations...
In this paper we propose an online multi-task learning algorithm for video concept detection. In par...
In this paper we present a clustering-based method for representing semantic concepts on multimodal ...
We address the problem of classifying complex videos based on their content. A typical approach to t...
The automatic analysis and indexing of multimedia content in general domains are important for a var...
In this work we propose a method that integrates multi-task learning (MTL) and deep learning. Our me...
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approa...
In automatic video content analysis domain, the key challenges are how to recognize important object...
Effective and efficient video retrieval has become a pressing need in the big video era and how to...
According to some current thinking, a very large number of semantic concepts could provide researche...
Abstract In this paper we describe a multi-strategy approach to improving semantic extraction from n...
A video captures a sequence and interactions of concepts that can be static, for instance, objects o...
A video captures a sequence and interactions of concepts that can be static, for instance, objects o...
The automatic analysis and indexing of multimedia content in general domains are im-portant for a va...
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper ...
We propose a new method to boost the performance of video annotation by exploiting concept relations...
In this paper we propose an online multi-task learning algorithm for video concept detection. In par...
In this paper we present a clustering-based method for representing semantic concepts on multimodal ...
We address the problem of classifying complex videos based on their content. A typical approach to t...
The automatic analysis and indexing of multimedia content in general domains are important for a var...
In this work we propose a method that integrates multi-task learning (MTL) and deep learning. Our me...
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approa...
In automatic video content analysis domain, the key challenges are how to recognize important object...
Effective and efficient video retrieval has become a pressing need in the big video era and how to...
Add to ORKG