Add to ORKGIn contrast to traditional video retrieval that represents vi-sual content with low-level features (e.g. color and texture), emerging concept-based video retrieval allows users to search video archives by specifying a limited number of high-level concepts (e.g. outdoors and car). Recent studies have demon-strated the feasibility of concept-based retrieval, but a funda-mental question remains: what kinds of concepts should we index? We analyze a large video archive annotated with more than a thousand high-level concepts, and develop guidelines for choosing concepts of high utility to video retrieval. 1
In this paper, we present a technique for unsupervised construc-tion of concept vectors, concept-bas...
We introduce the challenge problem for generic video indexing to gain insight in intermediate steps ...
This thesis considers concept-based multimedia retrieval, where documents are represented by the occ...
A number of researchers have been building high-level semantic concept detectors such as outdoors, f...
In this paper, we review 300 references on video retrieval, indicating when text-only solutions are ...
Abstract — In this paper, we propose an automatic video retrieval method based on high-level concept...
We explore the use of benchmarks to address the problem of assessing concept selection in video retr...
In this paper we investigate how a small number of high-level concepts derived for video shots, such...
In video search and retrieval, user’s need is expressed in terms of query. Early video retrieval sys...
In this paper we investigate how a small number of high-level concepts derived for video shots, such...
In video search and retrieval, user’s need is expressed in terms of query. Early video retrieval sys...
We explore the use of benchmarks to address the problem of assessing concept selection in video retr...
With the improving capabilities of current hardware systems, there are ever growing possibilities to...
Abstract Growth in storage capacity has led to large digital video repositories and complicated the ...
With the improving capabilities of current hardware systems, there are ever growing possibilities to...
In this paper, we present a technique for unsupervised construc-tion of concept vectors, concept-bas...
We introduce the challenge problem for generic video indexing to gain insight in intermediate steps ...
This thesis considers concept-based multimedia retrieval, where documents are represented by the occ...
A number of researchers have been building high-level semantic concept detectors such as outdoors, f...
In this paper, we review 300 references on video retrieval, indicating when text-only solutions are ...
Abstract — In this paper, we propose an automatic video retrieval method based on high-level concept...
We explore the use of benchmarks to address the problem of assessing concept selection in video retr...
In this paper we investigate how a small number of high-level concepts derived for video shots, such...
In video search and retrieval, user’s need is expressed in terms of query. Early video retrieval sys...
In this paper we investigate how a small number of high-level concepts derived for video shots, such...
In video search and retrieval, user’s need is expressed in terms of query. Early video retrieval sys...
We explore the use of benchmarks to address the problem of assessing concept selection in video retr...
With the improving capabilities of current hardware systems, there are ever growing possibilities to...
Abstract Growth in storage capacity has led to large digital video repositories and complicated the ...
With the improving capabilities of current hardware systems, there are ever growing possibilities to...
In this paper, we present a technique for unsupervised construc-tion of concept vectors, concept-bas...
We introduce the challenge problem for generic video indexing to gain insight in intermediate steps ...
This thesis considers concept-based multimedia retrieval, where documents are represented by the occ...