Add to ORKGIn this paper we present different sources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video analysis and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-grained events in video. We introduce an architecture for complementary resources analysis and discuss domain dependency aspects of this approach connected to our initial domain of soccer broadcasts
In this paper, we propose a novel audio-visual feature-based framework for event detection in broadc...
Abstract—Sports video semantic event detection is essential for sports video summarization and retri...
This thesis proposes solutions for content-based sports video analysis, including multi-modal featur...
In this paper we present different sources of information complementary to audio-visual (A/V) stream...
In this paper we attempt to characterize resources of information complementary to audio-visual (A/V...
There has been a huge increase in the utilization of video as one of the most preferred type of medi...
Semantic indexing of sports videos is a subject of great interest to researchers working on multimed...
Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing...
Nowadays, there is a lot of information in databases (text, audio/video form, etc.). It is important...
There has been a huge increase in the utilization of video as one of the most preferred type of medi...
In automatic video content analysis domain, the key challenges are how to recognize important object...
In this report, we first present a general framework for video structure and content analysis. In th...
With the advent of hard-disk video recording, video databases gradually emerge for consumer applicat...
Research Doctorate - Doctor of Philosophy (PhD)This thesis investigates the problem of seeking multi...
In this paper we propose novel, audio-visual analysis techniques for event detection in broadcast TV...
In this paper, we propose a novel audio-visual feature-based framework for event detection in broadc...
Abstract—Sports video semantic event detection is essential for sports video summarization and retri...
This thesis proposes solutions for content-based sports video analysis, including multi-modal featur...
In this paper we present different sources of information complementary to audio-visual (A/V) stream...
In this paper we attempt to characterize resources of information complementary to audio-visual (A/V...
There has been a huge increase in the utilization of video as one of the most preferred type of medi...
Semantic indexing of sports videos is a subject of great interest to researchers working on multimed...
Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing...
Nowadays, there is a lot of information in databases (text, audio/video form, etc.). It is important...
There has been a huge increase in the utilization of video as one of the most preferred type of medi...
In automatic video content analysis domain, the key challenges are how to recognize important object...
In this report, we first present a general framework for video structure and content analysis. In th...
With the advent of hard-disk video recording, video databases gradually emerge for consumer applicat...
Research Doctorate - Doctor of Philosophy (PhD)This thesis investigates the problem of seeking multi...
In this paper we propose novel, audio-visual analysis techniques for event detection in broadcast TV...
In this paper, we propose a novel audio-visual feature-based framework for event detection in broadc...
Abstract—Sports video semantic event detection is essential for sports video summarization and retri...
This thesis proposes solutions for content-based sports video analysis, including multi-modal featur...