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Jun 22, 2015 · In this paper, we investigate reducing the semantic gap of the traditional data-driven bag-of-audio-words based audio annotation approach by ...
In this paper, we propose a novel content-based automatic music annotation model that hierarchically combines attentive convolutional networks and recurrent ...
This paper investigates reducing the semantic gap of the traditional data-driven bag-of-audio-words based audio annotation approach by utilizing the ...
In this paper, we present a semantic concept annotation system using soundtracks/ audio of the video. We investigate three different acoustic feature ...
In this paper, we present a semantic concept annotation system using soundtracks/ audio of the video. We investigate three different acoustic feature ...
With the increasing use of audio sensors in UGC data, semantic concept annotation using audio streams has become an important research problem. The audio ...
In this paper, we present our semantic concept annotation system using audio stream only for the Huawei challenge. The system extracts audio stream from the ...
In this paper, we present our semantic concept annotation system using audio stream only for the Huawei challenge. The system extracts audio stream from the ...
Missing: Soundtracks. | Show results with:Soundtracks.
Abstract—This paper presents a novel method for automatically classifying consumer video clips based on their soundtracks. We use a set of 25 overlapping ...
Missing: Generated | Show results with:Generated
Abstract. In this work we describe an ontology driven resource annotation tool based on semantic web technology and web standards.