Proposal of a Disposable Camera App Providing Sensory Reality of Analog Operation on Smartphone Disposable Camera, officially called Film with lens, which was widely used in the 1980s and 1990s, is now attracting public attention again, creating a boom. It was common that people owned no cameras in the 1980s and 1990s before the devices like digital cameras and smartphones became widespread. It led to the spread of Disposable Camera on a global scale, which were available at a low price for people to purchase from stores such as convenience stores when they were on business or personal trip. Though most people own smartphones with advanced digital camera function today, analog film camera or film with lens with considerably low picture quality and fewer functions made a comeback and are gaining popularity. The reason lies in the reality felt in the use of the camera as a tool. It refers to a series of tasks with the simple Analog Camera  recording objects on the film and printing out the pictures on papers. The process gives younger generations, who are not familiar with analog cameras, a feeling of novelty and interest. Disposable Camera gives the realistic feel of using analog device which film cameras provide, and users can easily enjoy that feel. This is considered to be generating a great demand for disposable cameras, but they are bulky, larger and have less mobility compared to smartphones. The current generation who are used to smartphones might feel uncomfortable using these cameras. Thus, this study proposes an application that represents Disposable Camera on smartphone.

Semantic SegmentationBased RealTime Shallow DepthofField Imaging Using a Single Smartphone Camera Recently, consumer smartphones have various camera functions to satisfy a variety of consumerxe2x80x99s needs. Shallow depthoffield imaging or shallow focusing technique can provide a photographic shallow focusing function. However, single camerabased economic implementation has limits in quality and accuracy. This paper presents a novel, efficient shallow focusing algorithm for consumer singlecamera smartphones. The proposed method consists of three functional steps: i) classification of foreground object and background using semantic segmentation, ii) blurring the background, and iii) composing the segmented object and blurred image. The proposed method can perform shallow focusing without detecting human faces, and produces better performance than existing singlecamera smartphones in the sense of subjective measure.