This work is focused towards determining important contents for the description of a video stream and addresses the problem of generating smooth, coherent natural language description of videos in time series. NLDs of visual scenes are needed as they are more human friendly and capture relationships among keywords; clarifying the context related to separate keywords
Humans use rich natural language to describe and communicate visual perceptions. In order to provide...
Witnessing the omnipresence of ever complex yet so intuitive digital video media, research community...
Increase in the use of video-based applications has shown the need for modelling and querying the se...
This contribution addresses generation of natural language descriptions for important visual content...
This thesis is concerned with the automatic generation of natural language descriptions that can be ...
Generating natural language descriptions for visual data links computer vision and computational lin...
© 2012 Matěj KorvasThis thesis contributes to the SMILE project, aiming for video understanding. We ...
This exploratory work is concerned with generation of natural language descriptions that can be used...
creation of dataset describing a single video frame describing a video stream published wor
This paper integrates techniques in natural language processing and computer vision to improve recog...
Vision to language problems, such as video annotation, or visual question answering, stand out from ...
There has been continuous growth in the volume and ubiquity of video material. It has become essenti...
The problem of describing images through natural lan-guage has gained importance in the computer vis...
Witnessing the omnipresence of digital video media, the research community has raised the question o...
This paper deals with a semantic segmentation in video streams. The proposed method aims to detect s...
Humans use rich natural language to describe and communicate visual perceptions. In order to provide...
Witnessing the omnipresence of ever complex yet so intuitive digital video media, research community...
Increase in the use of video-based applications has shown the need for modelling and querying the se...
This contribution addresses generation of natural language descriptions for important visual content...
This thesis is concerned with the automatic generation of natural language descriptions that can be ...
Generating natural language descriptions for visual data links computer vision and computational lin...
© 2012 Matěj KorvasThis thesis contributes to the SMILE project, aiming for video understanding. We ...
This exploratory work is concerned with generation of natural language descriptions that can be used...
creation of dataset describing a single video frame describing a video stream published wor
This paper integrates techniques in natural language processing and computer vision to improve recog...
Vision to language problems, such as video annotation, or visual question answering, stand out from ...
There has been continuous growth in the volume and ubiquity of video material. It has become essenti...
The problem of describing images through natural lan-guage has gained importance in the computer vis...
Witnessing the omnipresence of digital video media, the research community has raised the question o...
This paper deals with a semantic segmentation in video streams. The proposed method aims to detect s...
Humans use rich natural language to describe and communicate visual perceptions. In order to provide...
Witnessing the omnipresence of ever complex yet so intuitive digital video media, research community...
Increase in the use of video-based applications has shown the need for modelling and querying the se...