Element Detection in Japanese Comic Book Panels

Comic books are a unique and increasingly popular form of entertainment combining visual and textual elements of communication. This work pertains to making comic books more accessible. Specifically, this paper explains how we detect elements such as speech bubbles present in Japanese comic book panels. Some applications of the work presented in this paper are automatic detection of text and its transformation into audio or into other languages. Automatic detection of elements can also allow reasoning and analysis at a deeper semantic level than what’s possible today. Our approach uses an expert system and a machine learning system. The expert system process information from images and inspires feature sets which help train the machine learning system. The expert system detects speech bubbles based on heuristics. The machine learning system uses machine learning algorithms. Specifically, Naive Bayes, Maximum Entropy, and support vector machine are used to detect speech bubbles. The algorithms are trained in a fully-supervised way and a semi-supervised way. Both the expert system and the machine learning system achieved high accuracy. We are able to train the machine learning algorithms to detect speech bubbles just as accurately as the expert system. We also applied the same approach to eye detection of characters in the panels, and are able to detect majority of the eyes but with low precision. However, we are able to improve the performance of our eye detection system significantly by combining the SVM and either the Naive Bayes or the AdaBoost classifiers

Development of Chemical-and Bio-sensor for Environmental Monitoring

Joint Research on Environmental Science and Technology for the Eart

DESIGN AND DEVELOPMENT OF MEMBRANE CHIP SYSTEM FOR STRESS SENSOR

Joint Research on Environmental Science and Technology for the Eart

DESIGN AND DEVELOPMENT OF OXIDATIVE STRESS RESPONSIVE LIPOSOME MEMBRANE WITH ENZYMATIC ACTIVITY (LIPOZYME) AND ITS APPLICATION TO CHEMICAL/BIOSENSOR

Joint Research on Environmental Science and Technology for the Eart

Faster STR-IC-LCS Computation via RLE

The constrained LCS problem asks one to find a longest common subsequence of two input strings A and B with some constraints. The STR-IC-LCS problem is a variant of the constrained LCS problem, where the solution must include a given constraint string C as a substring. Given two strings A and B of respective lengths M and N, and a constraint string C of length at most min{M, N}, the best known algorithm for the STR-IC-LCS problem, proposed by Deorowicz (Inf. Process. Lett., 11:423-426, 2012), runs in O(MN) time. In this work, we present an O(mN + nM)-time solution to the STR-IC-LCS problem, where m and n denote the sizes of the run-length encodings of A and B, respectively. Since m <= M and n <= N always hold, our algorithm is always as fast as Deorowicz\u27s algorithm, and is faster when input strings are compressible via RLE

IMMOBILIZED-LIPOSOME SENSOR SYSTEM FOR DETECTION OF DAMAGED PROTEINS

Joint Research on Environmental Science and Technology for the Eart

Effect of Axial Agitator Configuration (Up-Pumping, Down-Pumping, Reverse Rotation) on Flow Patterns Generated in Stirred Vessels

Single phase turbulent flow in a tank stirred with two different axial impellers - a pitched blade turbine (PBT) and a Mixel TT (MTT)- has been studied using Laser Doppler Velocimetry. The effect of the agitator configuration, i.e. up-pumping, down-pumping and reverse rotation, on the turbulent flow field, as well as power, circulation and pumping numbers has been investigated. An agitation index for each configuration was also determined. In the down-pumping mode, the impellers induced one circulation loop and the upper part of the tank was poorly mixed. When up-pumping, two circulation loops are formed, the second in the upper vessel. The PBT pumping upwards was observed to have a lower flow number and to consume more power than when down-pumping, however the agitation index and circulation efficiencies were notably higher. The MTT has been shown to circulate liquid more efficiently in the up-pumping configuration than in the other two modes. Only small effects of the MTT configuration on the power number, flow number and pumping effectiveness have been observed

DESIGN AND DEVELOPMENT OF NANO-ARTIFICIAL-CELL MEMBRANE BASED NOVEL BIOSENSOR : APPLICATION FOR MONITORING OF AQUEOUS STRESSES

Joint Research on Environmental Science and Technology for the Eart

DEVELOPMENT OF ELECTROACTIVE POLYMETHYLTHIOPHENE BASED DOPAMINE SENSOR

Joint Research on Environmental Science and Technology for the Eart