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

By Akitoshi Hanazawa, Tsutom Miki, Keiichi Horio

''Brain-inspired info technology'' is certainly one of key options for the improvement of knowledge know-how within the subsequent iteration. Explosive development of laptop know-how has been carrying on with in response to an easy precept known as ''if-then rule''. which means the programmer of software program need to direct each motion of the pc courses according to a variety of inputs. There inherently is a obstacle of complexity simply because we human have a constrained ability for handling advanced structures. truly, many insects, blunders of programming, exist in software program, and it truly is really tricky to extinguish them. The components of machine courses the place desktop viruses assault also are one of those programming errors, known as protection gap. in fact, human physique or anxious process isn't excellent. No author or director, even though, exists for us. The functionality of our mind is supplied by means of studying, self-organization, traditional choice, and and so forth, leading to adaptive and versatile details approach. Brain-inspired info expertise is aiming to gain such nature-made details processing procedure by utilizing current desktop procedure or particular undefined. to take action, researchers in a number of examine fields have become jointly to encourage one another and problem cooperatively for a similar goal.

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This approach is followed in (Nunes and Pereira 2007, Nunes and Pereira 2009) where the authors define different target VBV buffer occupancies for each encoding time instant as follows ⎡ TGOS ∑ p −1 X SP [k ] ⎤ k =1 BT [ p] = BS − ⎢ − R ( t SP [ p] − tSP [1]) ⎥ − Budflw X GOS ⎢ ⎥ ⎣ ⎦ (19) where BS is the VBV buffer size, TGOS is the target number of bits for the whole GOS, X SP [ p] is the SP p complexity, X GOS is the GOS complexity, tSP [ p] is the 24 P. D. Soares time instant of SP p, R is the GOS average target bit rate, and Budflw is a VBV underflow margin.

Shape error concealment by global motion compensation as in (Salama and Huang 2002) - (a) Original shape; (b) Corrupted shape; (c) Reference shape; (d) Recovered shape; (e) Contour of the corrupted shape; (f) Differences between original and recovered shapes. With this technique, the authors are able to achieve rather good results for wellbehaved video object sequences in terms of global motion, such as the Bream sequence, for which results are shown in Fig. 15. 4 kbps, using video packet sizes of 384 bytes.

However, considering that the available (frame-based) texture concealment techniques can most of the times be adapted to work for object-based video, researchers have mainly invested in shape concealment techniques. This explains why mainly shape concealment techniques have appeared in the literature and only one texture concealment technique, specifically designed for object-based video coding systems, is known. In terms of spatial shape concealment techniques, the first technique to appear in the literature was (Shirani et al.

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