• Cartoon and Animation Studies
• /
• s.49
• /
• pp.465-491
• /
• 2017

This paper analyzes the short animation film which faithfully follows the external dimension of cartoons, and studies the hidden subject and the way of narrative in the back of the figure. In this process, we analyze the theme of using the analysis method of mosaic image. The narrative of cartoons is usually the majority in discussing the differences in the aspectual part. However, this animation uses cartoons to reach the linear narrative of ordinary narrative movies. As Janet Murray explains, if a 'mosaic image' approaches a theme through a mosaic approach, we can limit the 'mosaic film' that are introduced in the film format among them. First of all, conceptually uses the characteristics of 'mosaic image', at the same time, it utilizes a work utilizing the narrative features of 'mosaic film'. By analyzing this animation film by bifurcation, the first half reveals the characteristics of open-minded mosaic video platform, and the second half introduces the linear narrative method of film narrative. This paper divides the narrative method of 'multi plot Film' into three types: mosaic narrative film, network narrative film, and multi-draft film. Thus, we can analyze the ending of as a narrative method of 'network narrative film' which is composed of parallel or juxtaposed stories. In other words, if the early part of the animation follows the 'mosaic narrative' as an 'extension of ensemble film', the latter part faithfully follows 'network narrative'. Even in the way of talking about the subject, this animated film uses the way of speaking the mosaic image. Considering the aspectual tendency of cartoons, it can be said that this film derives the meaning of 'humor' or 'satire' in an open way. If the first half refers to 'the ambiguous routine of modern man', the latter half draws a profound theme called 'the reality of human selfishness in modern society'. is a film for a wide range of social criticism designed for adults who can interpret meaning.

• Journal of Intelligence and Information Systems
• /
• v.18 no.1
• /
• pp.1-21
• /
• 2012

In recent years, mobile phone has experienced an extremely fast evolution. It is equipped with high-quality color displays, high resolution cameras, and real-time accelerated 3D graphics. In addition, some other features are includes GPS sensor and Digital Compass, etc. This evolution advent significantly helps the application developers to use the power of smart-phones, to create a rich environment that offers a wide range of services and exciting possibilities. To date mobile AR in outdoor research there are many popular location-based AR services, such Layar and Wikitude. These systems have big limitation the AR contents hardly overlaid on the real target. Another research is context-based AR services using image recognition and tracking. The AR contents are precisely overlaid on the real target. But the real-time performance is restricted by the retrieval time and hardly implement in large scale area. In our work, we exploit to combine advantages of location-based AR with context-based AR. The system can easily find out surrounding landmarks first and then do the recognition and tracking with them. The proposed system mainly consists of two major parts-landmark browsing module and annotation module. In landmark browsing module, user can view an augmented virtual information (information media), such as text, picture and video on their smart-phone viewfinder, when they pointing out their smart-phone to a certain building or landmark. For this, landmark recognition technique is applied in this work. SURF point-based features are used in the matching process due to their robustness. To ensure the image retrieval and matching processes is fast enough for real time tracking, we exploit the contextual device (GPS and digital compass) information. This is necessary to select the nearest and pointed orientation landmarks from the database. The queried image is only matched with this selected data. Therefore, the speed for matching will be significantly increased. Secondly is the annotation module. Instead of viewing only the augmented information media, user can create virtual annotation based on linked data. Having to know a full knowledge about the landmark, are not necessary required. They can simply look for the appropriate topic by searching it with a keyword in linked data. With this, it helps the system to find out target URI in order to generate correct AR contents. On the other hand, in order to recognize target landmarks, images of selected building or landmark are captured from different angle and distance. This procedure looks like a similar processing of building a connection between the real building and the virtual information existed in the Linked Open Data. In our experiments, search range in the database is reduced by clustering images into groups according to their coordinates. A Grid-base clustering method and user location information are used to restrict the retrieval range. Comparing the existed research using cluster and GPS information the retrieval time is around 70~80ms. Experiment results show our approach the retrieval time reduces to around 18~20ms in average. Therefore the totally processing time is reduced from 490~540ms to 438~480ms. The performance improvement will be more obvious when the database growing. It demonstrates the proposed system is efficient and robust in many cases.