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This paper focuses on a novel and challenging vision task, dense video captioning, which aims to automatically describe a video clip with multiple informative and diverse caption sentences. The proposed method is trained without explicit annotation of fine-grained sentence to video region-sequence correspondence, but is only based on weak video-level sentence annotations. It differs from existing...
Video categorization is a very important problem with many applications like content search and organization, smart content-aware advertising, open-source intelligence analysis, etc. This paper discusses selected representative research progresses in categorizing big video data, with a focus on the user-generated videos on the Internet. We identify two major challenges in this vibrant field and envision...
This paper presents a novel stellar spectral classification method. Wavelet packet transform is adopted to extract continuums and absorptions in the spectra. Then a method for constructing combinatorial features is introduced, which is suitable for both temperature and luminosity classification. Finally both temperature and luminosity classes of the stars are determined using ensemble neural networks...
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