视频识别-一种大规模视频元素识别的服务建议

Antonio José G. Busson, Á. L. Guedes, Gabriel N. P. dos Santos, Carlos de Azevedo Pinto Soares Neto, R. L. Milidiú, Sérgio Colcher
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引用次数: 0

摘要

深度学习研究使多媒体的各个领域取得了重大进展,特别是在语音处理、听力和计算视觉相关的任务中。然而,一些视频服务仍然只关注传统的媒体使用(捕获、存储、传输和呈现)。在本文中,我们讨论了我们正在进行的关于dla的研究,即深度学习即服务。通过这种方式,我们展示了视频分类和识别的最新技术。在此基础上,我们提出了基于视频识别的图像识别算法,以支持图像分类和视频场景、目标检测和人脸识别等任务。我们在video@RNP存储库的上下文中讨论建议的服务的使用。我们的主要贡献在于讨论当今多媒体服务的技术状况和使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VideoRecognition - Uma proposta de serviço para reconhecimento de elementos de vídeo em larga escala
Deep Learning research has allowed significant advancement of various segments of multimedia, especially in tasks related to speech processing, hearing and computational vision. However, some video services are still focused only on the traditional use of media (capture, storage, transmission and presentation). In this paper, we discuss our ongoing research towards a DLaS, i.e. Deep Learning as a Service. This way, we present the state of art in video classification and recognition. Then we propose the VideoRecognition as DLaS to support the tasks such as: image classification and video scenes, object detection and facial recognition. We discuss the usage of the proposed service in the context of the video@RNP repository. Our main contributions consist on dicussussions over the state of art and it usage in nowdays multimedia services.
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