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Environmental sound detection is a challenging application of machine learning because of the noisy nature of the signal, and the small amount of (labeled) data that is typically available. This work thus presents a comparison of several state-of-the-art Deep Learning models on the IEEE challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) 2016 challenge task and data, classifying...
The paper mainly investigates the widely-used image features and related feature selection methods in content-based image retrieval (CBIR).The texture features and shape features that could be used in the retrieval of solar images are mainly discussed. The result of the survey indicates that although the CBIR related research work in solar image retrieval is comparatively less, the existing achievements...
In tennis match highlights mainly take place in shots containing full court (Court view shots), therefore successful court view shots detection is useful for highlights extraction. This paper proposes a court view shots detection algorithm, in which shot detection that is the precondition of usual shot classification is given up for shot detection not only costs more time, but also its detection performance...
Web video databases tend to contain immense copies with the explosive growth of online videos. How to detect video copies has become an essential problem for web video storage and indexing. This paper presents an efficient Hash scheme for video copy detection. By building trajectories of Harris points from frame to frame, behavior of interest points can be expressed. Spatio-temporal persistent points...
A RST-resilient watermarking scheme based on invariant features are proposed in this paper. The scale-invariant points of wavelet low-frequency sub-image are used to realize resynchronization after RST (Rotation Scale Translation) attacks. An improved HVS model is adopted to embed multiplicative spread spectrum watermark in DWT (Discrete Wavelet Transform) domain, and optimal water- marking detection...
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