• Title/Summary/Keyword: Smart Picture

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A Research of Smart Picture Concept design (Smart Picture 콘셉트 디자인에 관한 연구)

  • Kang, Dong-Kyun;Jhang, Jung-Jin;Roh, Jung-Hwa;Jeung, Ji-Hong;Pan, Young-Hwan
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.984-988
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    • 2009
  • LCD를 이용해 화면상에 다양한 이미지를 제공하는 디지털액자는 디지털 카메라 사용의 대중화에 따라 지속적인 매출 증가를 보이고 있다. 디지털액자는 디지털 사진을 볼 수 있는 액정표시장치(LCD)로 된 제품으로써 현재는 디스플레이 시장 및 디지털 액자시장 성장, 디지털 기술 발전과 함께 다양한 포맷의 동영상을 지원하고, 음악을 재생하는가 하면 네트워크 기술까지 탑재한 다기능 디바이스(device)로 탈바꿈되고 있어 사용자를 위한 디지털 액자의 사용목적 및 기능에 따른 디지털 액자 형태의 세분화와 디자인 콘셉트는 더욱 다양화 될 것이다. 본 연구는 기존의 디지털 액자와 차별화 된 스마트픽쳐(Smart Picture)라는 제품 개발 콘셉트(Concept) 연구를 목적으로 한다. 스마트픽쳐(Smart Picture)라 함은 기존 디지털액자에서의 사진 및 동영상 보여주기 기능이외에도 전용화된 아트웍 (Artwork)형태의 전용화된 콘텐츠와 차별화된 형태와 재질을 가진 디지털액자를 뜻한다. 본 연구는 스마트픽쳐(Smart Picture) 개발을 위한 선행연구의 일환으로 제품 개발을 위한 콘셉트 디자인(Concept Design)연구를 목적으로 현재 시판되는 다양한 디지털액자와 관련된 사례분석과 디스플레이(Display)가 활용되는 분야 및 사용 콘텐츠(Contents) 사례 연구 조사, 디스플레이 활용분야, 미디어 작품 사례 조사를 통해 자료를 수집 및 아이디어 방향을 설정하고, 설정된 방향을 바탕으로 스마트픽쳐(Smart Picture)에 반영될 수 있는 아이디어 요소 도출 및 구체화 후에 스마트픽쳐(Smart Picture) 콘셉트 디자인 개념 제안까지를 연구 방향으로 한다.

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Development of Smart pH Reader Based on Android Smart Phone (안드로이드 스마트폰 기반 Smart pH Reader 개발)

  • Kim, Min J.;Chang, Byoung-Yong;Joo, Moon G.
    • IEMEK Journal of Embedded Systems and Applications
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    • v.8 no.4
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    • pp.227-233
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    • 2013
  • In this paper, we propose an implementation of pH reader on Android smart phone by using Eclipse and SDK. After taking a picture of pH spectrum and tested litmus paper at the same time, we save the picture. From the picture, reference values in RGB and YUB of all pH color in the spectrum are obtained and then those of a chosen point by user in the litmus paper are to be compared with. The distances between the reference colors and the litmus paper's color are measured by Euclidean distance in RGB or YUB coordinate. The nearest two pH values are taken to find the weighted average of the result. Series of test show the proposed scheme is feasible and has performance within 10% error.

Study of Re-writing "A Tale of the Conquest over a Big Enemy from an Underground Nation" - Focusing on picture book narrative (지하국대적퇴치설화를 활용한 새로쓰기 연구 - 그림책 서사를 중심으로)

  • Kim, Hwa-Lim;Kim, Hanil
    • Smart Media Journal
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    • v.6 no.4
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    • pp.88-93
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    • 2017
  • The story of "A Tale of the Conquest over a Big Enemy from an Underground Nation" is a story that is distributed all over the world. This familiar narrative structure can be accepted without great objection even in places with different cultures. In case of storytelling with the elements extracted from the narrative according to the previous research, storytelling of the picture book was carried out using the element and structure of the narrative. One of the ways to content the story is called a re-writing. In this paper, we divided the components of picture book into literary subjects, plots, characters, and backgrounds. "A Tale of the Conquest over a Big Enemy from an Underground Nation" is analyzed in the same way. And presented storytelling of the picture book.

Smart Phone Picture Recognition Algorithm Using Electronic Maps of Architecture Configuration (건물 배치 전자도면을 이용한 모바일 폰의 피사체 인지 방법)

  • Yim, Jae-Geol;Joo, Jae-Hun;Lee, Gye-Young
    • The Journal of Society for e-Business Studies
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    • v.17 no.3
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    • pp.1-14
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    • 2012
  • As the techniques of electronic and information are advancing, the computing power of a smart phone is becoming more powerful and the storage capacity of a smart phone is becoming larger. As the result, various new useful services are becoming available on smart phones. The context-aware service and mobile augmented reality have recently been the most popular research topics. For those newly developed services, identifying the object in the picture taken by the camera on the phone performs an extremely important role. So, many researches of identifying pictures have been published and most of them are based on the time consuming image recognition techniques. On the contrary, this paper introduces a very fast and effective method of identifying the objects on the photo making use of the sensor data obtained from the smart phone and electronic maps. Our method estimates the line of sight of the camera with the location and orientation information provided by the smart phone. Then it finds any element of the map which intersects the line of sight. By investigating those intersecting elements, our method identifies the objects on the photo.

Taking a Jump Motion Picture Automatically by using Accelerometer of Smart Phones (스마트폰 가속도계를 이용한 점프동작 자동인식 촬영)

  • Choi, Kyungyoon;Jun, Kyungkoo
    • Journal of KIISE
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    • v.41 no.9
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    • pp.633-641
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    • 2014
  • This paper proposes algorithms to detect jump motion and automatically take a picture when the jump reaches its top. Based on the algorithms, we build jump-shot system by using accelerometer-equipped smart phones. Since the jump motion may vary depending on one's physical condition, gender, and age, it is critical to figure out common features which are independent from such differences. Also it is obvious that the detection algorithm needs to work in real-time because of the short duration of the jump. We propose two different algorithms considering these requirements and develop the system as a smart phone application. Through a series of experiments, we show that the system is able to successfully detect the jump motion and take a picture when it reaches the top.

Implementation of Reflection Removal Algorithm on Mobile Device (모바일 장치에서 반사 잔상 제거 알고리즘 구현)

  • Lee, YuKyong;Lee, Yong-Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.108-112
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    • 2021
  • Undesired reflection removal from an image captured through glass window is widely needed with the prevalence of camera. In this paper, we present and implement a reflection removal algorithm, which is specially designed for smart devices. Our implementation requires smart phone application to take two input pictures of the same target, one with flash light on and another with flash light off. Then, we find a flash spot in the picture, match the features to align the input pictures, transform the color space, and finally combine the pictures. As the result, we get a resulting image with removed reflection, achieving the visually pleasant.

Mobile Photo Shooting Guide System for A Blind Person (시각 장애인을 위한 모바일 사진촬영 가이드 시스템)

  • Kim, Taehyub;Kim, Doyun;Im, Donghyuk;Hong, Hyunki
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.7
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    • pp.167-174
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    • 2013
  • Various smart phone applications have been widely developed and an intelligent service to take a picture for the visually handicapped is needed. By using an auditory service and/or other's help, the blind capture an image with their cameras for keeping a record or exchanging the information with another people. However, they are difficult to take the wanted picture because they are unable to grasp the visual contents in the viewfinder. This paper presents a novel guiding system for the blind people to take a picture with the smart phone. The proposed method identifies a person in the picture and determines the presence of eye blinks and blurring. The system provides a guiding information such as camera directions, which are transferred into the blind user with auditory service.

Low-latency SAO Architecture and its SIMD Optimization for HEVC Decoder

  • Kim, Yong-Hwan;Kim, Dong-Hyeok;Yi, Joo-Young;Kim, Je-Woo
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.1
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    • pp.1-9
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    • 2014
  • This paper proposes a low-latency Sample Adaptive Offset filter (SAO) architecture and its Single Instruction Multiple Data (SIMD) optimization scheme to achieve fast High Efficiency Video Coding (HEVC) decoding in a multi-core environment. According to the HEVC standard and its Test Model (HM), SAO operation is performed only at the picture level. Most realtime decoders, however, execute their sub-modules on a Coding Tree Unit (CTU) basis to reduce the latency and memory bandwidth. The proposed low-latency SAO architecture has the following advantages over picture-based SAO: 1) significantly less memory requirements, and 2) low-latency property enabling efficient pipelined multi-core decoding. In addition, SIMD optimization of SAO filtering can reduce the SAO filtering time significantly. The simulation results showed that the proposed low-latency SAO architecture with significantly less memory usage, produces a similar decoding time as a picture-based SAO in single-core decoding. Furthermore, the SIMD optimization scheme reduces the SAO filtering time by approximately 509% and increases the total decoding speed by approximately 7% compared to the existing look-up table approach of HM.

Getting Smart? A Research Note into Smart Tourism Curriculum and Implications on Generation Alpha and Beta

  • Aaron Tham;Husna Zainal Abidin
    • Journal of Smart Tourism
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    • v.3 no.1
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    • pp.35-39
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    • 2023
  • This research note probes the largely ignored sphere of smart tourism curriculum as destinations and institutions seek to develop graduates ready to embrace the demands and challenges of future work environments where technology has a ubiquitous presence. This knowledge gap is somewhat surprising, even as destinations progress towards smart tourism futures, without necessarily clarifying what human resources need to possess in the coming decades. Drawing from available smart tourism curriculum across the globe, and emergent trends associated with Generation Alpha and Beta, this research note paints a timely picture of how smart tourism curriculum should be designed and developed to meet the needs of industry and consumer demands and expectations.

Applied Video Statistics

  • Beek, W.H.M. Van;Cordes, C.N.;Raman, N.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2005.07b
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    • pp.1584-1587
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    • 2005
  • Although the picture quality of today's displays is very good already, a continuous improvement is desirable as the new larger display sizes increase the visibility of artifacts. A contributing factor for picture quality enhancement through smart video processing and algorithm design is the information gathered from video statistics. Interesting parameters gathered from video statistics are e.g. the image- and display load, the usage of the color gamut, the estimated power consumption and the occurrence of static image parts. Examples of applications that can benefit from video statistics are power calculations, color gamut mapping algorithms, dynamic backlight control for LCD panels and LED backlights for LCD panels.

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