January 2018
Intermediate to advanced
310 pages
7h 48m
English
A video is nothing but a series of images. Video brings a new dimension to the image along the temporal direction. The spatial features of the images and temporal features of the video can be put together, providing a better outcome than just the image. The extra dimension also results in a lot of space and hence increases the complexity of training and inference. The computational demands are extremely high for processing a video. Video also changes the architecture of deep learning models as we have to consider the temporal features.
Video classification is the task of labeling a video with a category. A category can be on the frame level or for the whole video. There could be actions or tasks performed ...
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