Reverse Side of Multimedia Pedagogics: Clip Thinking

Modeling reverse thinking for machine learning

Human inertial thinking schemes can be formed through learning, which are then applied to quickly solve similar problems later. However, when problems are significantly different, inertial thinking generally presents the solutions that are definitely imperfect. In such cases, people will apply creative thinking, such as reverse thinking, to solve problems. Similarly, machine learning methods al...

Thinking about Sound in Mobile Multimedia

In a series of studies, David Frohlich' has shown that sound can do many things in relation to pictures. For instance, if one shoots a blurry image, sound can "save" them by making them still interesting enough to be shared later in photo-talk. There are few existing studies on sound in mobile multimedia, but they suggest that in the future, we must pay attention not just to the fact that camer...

The Human Side of Multimedia Telecommunications1

Advances in integrated circuit design, image and audio coding and computer architecture have made it possible to develop desktop-based multimedia telecommunications systems at modest cost. We examine how desktop multimedia telecommunications using various network technologies between workstations have been used to allow non-experts to perform tasks typical of their day-to-day work, and show tha...

Side-Channel based Reverse Engineering for Microcontrollers

Since side-channel analysis was introduced in the mid-1990s, it has permanently been enhanced and become a reliable method for cryptanalysts to break physical implementations of cryptographic algorithms. Recently, these methods have become of interest to be used for reverse engineering program code running on microcontrollers (e.g., [QS02], [No03]), which are often used in security critical env...

Side Channel Analysis for Reverse Engineering (