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In this paper, researchers test several algorithms called by features, as part of pre-processing from AudiTion application. AudiTion is a mobile application that help deaf people to know their environment with visualized the sound into text that describes the sound itself. However, AudiTion has some problems, like delay, the load process, and the accuracy in predict sound. The research will use different...
We present a novel approach to scene classification using combined audio signal and video image features and compare this methodology to scene classification results using each modality in isolation. Each modality is represented using summary features, namely Mel-frequency Cepstral Coefficients (audio) and Scale Invariant Feature Transform (SIFT) (video) within a multi-resolution bag-of-features model...
We participated in the Huawei Accurate and Fast Mobile Video Annotation Challenge (MoVAC) at IEEE ICME 2014. Three result runs were submitted by combining different features and classification techniques, with emphasis on both accuracy and efficiency. In this paper, we briefly summarize the techniques used in our system, and the components used for generating each of the three submitted results. One...
Moving vehicle detection and classification usingmultimodal data is a challenging task in data collection, audio-visual alignment, and feature selection, andeffective vehicle classification in uncontrolledenvironments. In this work, we first present a systematicway to align the multimodal data based the multimodaltemporal panorama generation. Then various types offeatures are extracted to represent...
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