Thelllo"ie .. iIl_d_1.l~try U}lig1.l~!YJ~!:ovid~s the ~pPC?rtlmity. to combine the creativity of the artist with the technology of science. It was in fact the marriage of art and science that gave birth to filmmaking. While many advances and discoveries have been made in the tools used to make movies, support their production and distribution, and enhance their exhibition, perhaps none since th...

John Nash was a mathematician who earned the 1994 Nobel Prize in Economics for his work in game theory. His life story was made into a successful movie, A Beautiful Mind. In 1955, Nash was in correspondence with the United States National Security Agency (NSA),1 discussing new methods of encryption that he had devised. In these letters, he also proposes some general principles of cryptography (...

This final project studied the analysis of moral values in “Justice Leagu” Movie. research focused mainly on found movie. The objectives study were (1) to find out Justice League Movie, (2) explore reflected main character Movie.The design was descriptive qualitative research. object script instruments data from discussions prior chapters are be summarized achieve purpose study. First, being th...

A 54-year-old man was referred for cardiac evaluation before renal transplantation because of chronic renal failure. His medical history was remarkable for diabetes mellitus, hypertension, and 3 episodes of transient ischemic attack (the most recent was 3 years earlier). A transthoracic echocardiogram showed a large, mobile mass on the anterior leaflet of the mitral valve, with trivial mitral r...

Current state of the art in computer science is an attempt to build a system that understands us. Affective computing is one of the attempt made to build an information system that can detect, classify, and respond to human emotion. Affective computing is a combination of artificial intelligence and cognitive science that inspired researcher to build a computer system or robot that similar to C...

Automatic interpretation and understanding of videos still remains at the frontier of computer vision. The core challenge is to lift the expressive power of the current visual features (as well as features from other modalities, such as audio or text) to be able to automatically recognize typical video sections, with low temporal saliency yet high semantic expression. Examples of such long even...

Recently, Seshadrinathan and Bovik proposed the Motion-based Video Integrity Evaluation (MOVIE) index for VQA. MOVIE utilized a multi-scale spatio-temporal Gabor filter bank to decompose the videos and to compute motion vectors. Apart from its psychovisual inspiration, MOVIE is an interesting option for VQA owing to its performance. However, the use of MOVIE in a practical setting may prove to ...