Brain-Inspired Information Technology by Akitoshi Hanazawa, Tsutom Miki, Keiichi Horio

By Akitoshi Hanazawa, Tsutom Miki, Keiichi Horio

''Brain-inspired info technology'' is considered one of key innovations for the advance of data know-how within the subsequent iteration. Explosive growth of laptop expertise has been carrying on with in line with an easy precept known as ''if-then rule''. which means the programmer of software program need to direct each motion of the pc courses based on a number of inputs. There inherently is a trouble of complexity simply because we human have a constrained potential for dealing with advanced structures. really, many insects, errors of programming, exist in software program, and it truly is rather tricky to extinguish them. The elements of computing device courses the place machine viruses assault also are a type of programming blunders, referred to as defense gap. after all, human physique or anxious method isn't ideal. No author or director, although, exists for us. The functionality of our mind is supplied via studying, self-organization, normal choice, and and so forth, leading to adaptive and versatile details method. Brain-inspired details know-how is aiming to achieve such nature-made info processing method by utilizing current computing device process or particular undefined. to take action, researchers in numerous study fields are becoming jointly to motivate one another and problem cooperatively for a similar goal.

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Most have been proposed for frame-based video, but can also be extended for objectbased video. Rate Control and Error Resilience for Object-Based Video Coding 29 In particular, it is largely recognized that Intra coding refresh can play a major role in improving error resilience in video coding systems that rely on predictive (Inter) coding to remove temporal redundancy because, in these conditions, the decoded quality can decay very rapidly due to error propagation if errors occur in the transmission or storage of the coded streams.

9 (b), is counted. The rationale behind this selection is to weight more the neighboring shapels in the directions along which shapels have a higher tendency to be the same. For each missing shape block, this procedure is iteratively repeated until the algorithm converges. Additionally, if several consecutive missing blocks have to be concealed, the procedure is recursively applied to all the missing shape blocks. In (Shirani et al. , CIF versions of Akiyo, Bream and Weather), which have been MPEG-4 encoded with 5 to 10 video packets per VOP.

The previous motion compensated contour) to the corrupted contour the missing segments, as illustrated in Fig. 14 (b), thus recovering the whole contour. Rate Control and Error Resilience for Object-Based Video Coding 39 • Shape filling – Finally, the fourth step, which corresponds to recovering the shape from the contour, it is simply a matter of filling in the shapels while taking into account the recovered contour. (a) (b) Fig. 14. Illustration of the global motion compensation method to recover the object contour: (a) Broken contour extracted from a corrupted shape of the Bream object; (b) Reference contour with overlapped end points from the corrupted contour.

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