Americas, Special Report, Lifestyle

[Aale#skeriut]

Members of the wolf-like group include wolves, coyotes and jackals, which are all closely related. Observing the diversity of dogs and wild canids, scientists like Charles Darwin reasoned that different types of dogs might be descended from different types of wild canids. However, modern DNA analysis shows us that dogs are descended only from wolves. In the next section, we'll look at how this evolution might have happened. Even if it's clear that dogs are descended from wolves, it is less obvious how this came about. The conventional view, and one widely represented in both fiction and nonfiction, is that prehistoric people took wolf pups from their dens and reared them to think of people as their "pack." These tamed wolves lived with people and reproduced. The people that cared for them treasured individuals with odd coats or heavier bone structure, which might have meant death in the wild. Over time people began to breed these wolf-dogs selectively until they eventually created the diversity of dogs we see today.|Video summarization aims to automatically generate a diverse. Concise summary which is useful in large-scale video processing. Most of methods tend to adopt self attention mechanism across video frames, which fails to model the diversity of video frames. To alleviate this problem, we revisit the pairwise similarity measurement in self attention mechanism and find that the existing inner-product affinity leads to discriminative features rather than diversified features. In light of this phenomenon, we propose global diverse attention by using the squared Euclidean distance instead to compute the affinities. Moreover, we model the local contextual information by proposing local contextual attention to remove the redundancy in the video. By combining these two attention mechanism, a video SUMmarization model with Diversified Contextual Attention scheme is developed and named as SUM-DCA. Extensive experiments are conducted on benchmark data sets to verify the effectiveness and the superiority of SUM-DCA in terms of F-score and rank-based evaluation without any bells and whistles.




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