• Title/Summary/Keyword: Visual Object

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User Needs of Three Dimensional Hand Gesture Interfaces in Residential Environment Based on Diary Method (주거 공간에서의 3차원 핸드 제스처 인터페이스에 대한 사용자 요구사항)

  • Jeong, Dong Yeong;Kim, Heejin;Han, Sung H.;Lee, Donghun
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.5
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    • pp.461-469
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    • 2015
  • The aim of this study is to find out the user's needs of a 3D hand gesture interface in the smart home environment. To find out the users' needs, we investigated which object the users want to use with a 3D hand gesture interface and why they want to use a 3D hand gesture interface. 3D hand gesture interfaces are studied to be applied to various devices in the smart environment. 3D hand gesture interfaces enable the users to control the smart environment with natural and intuitive hand gestures. With these advantages, finding out the user's needs of a 3D hand gesture interface would improve the user experience of a product. This study was conducted using a diary method to find out the user's needs with 20 participants. They wrote the needs of a 3D hand gesture interface during one week filling in the forms of a diary. The form of the diary is comprised of who, when, where, what and how to use a 3D hand gesture interface with each consisting of a usefulness score. A total of 322 data (209 normal data and 113 error data) were collected from users. There were some common objects which the users wanted to control with a 3D hand gesture interface and reasons why they want to use a 3D hand gesture interface. Among them, the users wanted to use a 3D hand gesture interface mostly to control the light, and to use a 3D hand gesture interface mostly to overcome hand restrictions. The results of this study would help develop effective and efficient studies of a 3D hand gesture interface giving valuable insights for the researchers and designers. In addition, this could be used for creating guidelines for 3D hand gesture interfaces.

"Poor Theatre, Poor Art" - Jerzy Grotowsky's Play and Arte Povera ('가난한 연극, 가난한 미술' - 그로토프스키 연극이론과 아르테 포베라)

  • Kang, Young-Joo
    • The Journal of Art Theory & Practice
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    • no.5
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    • pp.109-133
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    • 2007
  • What a concept of theatricality in modern art became more controversial is through a review "art and object-hood" on Michael Fried's minimal art, as having been already known broadly. As he had been concerned, the art following the minimalism is accepting as the very important elements such as the introduction of temporality, the stage in the exhibition space, and the audience's positive participation, enough to be no exaggeration to say that it was involved in almost all the theatricality. Particularly even in the installation art and the environment art, which have substantially positioned since the 1970s, the space is staged, and the audience's participation is greatly highlighted due to the temporal character and the site-specific in works. In such way, the theatricality in art work is today regarded as one of the most important elements. In this context, it is thought to have significance to examine theatricality, which is shown in the works of Arte Povera artists, who had been active energetically between 1967-1971. That is because the name of this group itself is what was borrowed from "Poor Theatre" in Jerzy Grotowski, who is a play director and theorist coming from Poland, and because of having many common points in the aspect of content and form. It reveals that the art called Arte Povera is sharing many critical minds in the face of commanding the field called a play and other media. Grotowski's theatre theory is very close to the theory and substance in Arte Povera in a sense that liberates a play, which was locked in literature, above all, renews the relationship between stage and seat and between actor and audience, and pursues a human being's change in consciousness through this. That is because Arte Povera also emphasizes the communication with the audience through appealing to a human being's perception and through the direct and living method, not the objective art concept of centering on the work. In addition, the poor play or poor art all has tendency that denies a system, which relies upon economic and cultural system, and seeks for what is anti-cultural, elemental, and fundamental. It is very similar even in a sense that focuses on the exploration process itself rather than the result, excludes the transcendental concept, and attaches importance to empiricism. However, Arte Povera accepts contradictoriness and complexity, and suggests eclecticism and tolerance, thereby being basically the nomadic art and the art difficult to be captured constitutively. On the other hand, there is difference in a sense that the poor play is characterized by purity, asceticism, seriousness, and solemnity. If so, which significance does this theatricality, which was introduced to art, ultimately have? As all the arts desire to be revealed with invisible things beyond the visual thing, theatricality comes to play a very important role at this time. If all the artists and audiences today came to acquire actual or virtual freedom much more, that can be said to be a point attributable to that art relied upon diverse conditions in a play.

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The Role of Textbooks Pictures in the World Recognition (세계인식 형성에 있어서 교과서 삽화의 역할 : 일제 시대 간행된 초등 지리교과서의 인종·민족 삽화를 중심으로)

  • Han, Hyun-jung
    • Korean Journal of Comparative Education
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    • v.27 no.3
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    • pp.213-238
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    • 2017
  • This paper aims to point out that the contemporary textbook is a common cognitive construct, and that the realistic drawings in the textbooks have played an important role in shaping the world recognition. The main subjects of this study are the racial-ethnic illustrations of elementary school geography textbooks, published by the Japanese Ministry of Education, the Japanese Government-General of Taiwan and Korea, the educational association of Manchu. By comparing the same factors in various textbooks, it examines how the temporal and spatial recognition of the world is adjusted by visual representation. The main findings of this study are three fold. First, the world was introduced to the extent of the sum that the census and the classifications of racial and ethnic groups were adopted. And the world appeared later in the year supported by the racial and ethnic minorities. Second, the expressive style of racial and ethnic groups changed from an emphasis on a heterogeneous part as an object of scientific observation in the early stage to a later one with a life culture similar to the reader. Third, racial ethnic illustrations have been used differently depending on the publishing region in the Empire, giving readers in different regions with different images of the same category. In many cases, it was possible to know the politics of representation and the use of certain racial ethnic illustrations. The textbooks of the first half of the 20th century gave great recognition to the people who could not meet with the readers by using the illustrations. A child in the mainland is aware of his position in a "viewing position" while viewing various empire people through the textbook. On the other hand, in the textbooks of the colonial children, they stood in the position of 'being seen', and showed a change in internalizing the position of the mainland along with the expansion of the empire.

Compression of CNN Using Low-Rank Approximation and CP Decomposition Methods (저계수 행렬 근사 및 CP 분해 기법을 이용한 CNN 압축)

  • Moon, HyeonCheol;Moon, Gihwa;Kim, Jae-Gon
    • Journal of Broadcast Engineering
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    • v.26 no.2
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    • pp.125-131
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    • 2021
  • In recent years, Convolutional Neural Networks (CNNs) have achieved outstanding performance in the fields of computer vision such as image classification, object detection, visual quality enhancement, etc. However, as huge amount of computation and memory are required in CNN models, there is a limitation in the application of CNN to low-power environments such as mobile or IoT devices. Therefore, the need for neural network compression to reduce the model size while keeping the task performance as much as possible has been emerging. In this paper, we propose a method to compress CNN models by combining matrix decomposition methods of LR (Low-Rank) approximation and CP (Canonical Polyadic) decomposition. Unlike conventional methods that apply one matrix decomposition method to CNN models, we selectively apply two decomposition methods depending on the layer types of CNN to enhance the compression performance. To evaluate the performance of the proposed method, we use the models for image classification such as VGG-16, RestNet50 and MobileNetV2 models. The experimental results show that the proposed method gives improved classification performance at the same range of 1.5 to 12.1 times compression ratio than the existing method that applies only the LR approximation.

Fire Detection using Deep Convolutional Neural Networks for Assisting People with Visual Impairments in an Emergency Situation (시각 장애인을 위한 영상 기반 심층 합성곱 신경망을 이용한 화재 감지기)

  • Kong, Borasy;Won, Insu;Kwon, Jangwoo
    • 재활복지
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    • v.21 no.3
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    • pp.129-146
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    • 2017
  • In an event of an emergency, such as fire in a building, visually impaired and blind people are prone to exposed to a level of danger that is greater than that of normal people, for they cannot be aware of it quickly. Current fire detection methods such as smoke detector is very slow and unreliable because it usually uses chemical sensor based technology to detect fire particles. But by using vision sensor instead, fire can be proven to be detected much faster as we show in our experiments. Previous studies have applied various image processing and machine learning techniques to detect fire, but they usually don't work very well because these techniques require hand-crafted features that do not generalize well to various scenarios. But with the help of recent advancement in the field of deep learning, this research can be conducted to help solve this problem by using deep learning-based object detector that can detect fire using images from security camera. Deep learning based approach can learn features automatically so they can usually generalize well to various scenes. In order to ensure maximum capacity, we applied the latest technologies in the field of computer vision such as YOLO detector in order to solve this task. Considering the trade-off between recall vs. complexity, we introduced two convolutional neural networks with slightly different model's complexity to detect fire at different recall rate. Both models can detect fire at 99% average precision, but one model has 76% recall at 30 FPS while another has 61% recall at 50 FPS. We also compare our model memory consumption with each other and show our models robustness by testing on various real-world scenarios.

Dual CNN Structured Sound Event Detection Algorithm Based on Real Life Acoustic Dataset (실생활 음향 데이터 기반 이중 CNN 구조를 특징으로 하는 음향 이벤트 인식 알고리즘)

  • Suh, Sangwon;Lim, Wootaek;Jeong, Youngho;Lee, Taejin;Kim, Hui Yong
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.855-865
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    • 2018
  • Sound event detection is one of the research areas to model human auditory cognitive characteristics by recognizing events in an environment with multiple acoustic events and determining the onset and offset time for each event. DCASE, a research group on acoustic scene classification and sound event detection, is proceeding challenges to encourage participation of researchers and to activate sound event detection research. However, the size of the dataset provided by the DCASE Challenge is relatively small compared to ImageNet, which is a representative dataset for visual object recognition, and there are not many open sources for the acoustic dataset. In this study, the sound events that can occur in indoor and outdoor are collected on a larger scale and annotated for dataset construction. Furthermore, to improve the performance of the sound event detection task, we developed a dual CNN structured sound event detection system by adding a supplementary neural network to a convolutional neural network to determine the presence of sound events. Finally, we conducted a comparative experiment with both baseline systems of the DCASE 2016 and 2017.

Combined Study of Individual Board Game Program on Cognitive Function and Depression in Elderly People with Mild Cognitive Impairment (경도인지장애 고령자의 인지기능 및 우울 수준에 대한 가정방문 개별 보드게임 프로그램의 융복합 연구)

  • Kim, Han-na;Song, Bo-Kyoung
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.85-90
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    • 2019
  • The purpose of this study was to investigate the effects of individual board game program (IBGP) on cognitive function and depression level in 7 elderly people with mild cognitive impairment(MCI). We used the mini-mental state examination korean version (MMSE-K), montreal cognitive assessment korean version (MoCA-K), and korean form of geriatric depression scale(KGDS). The results showed significant differences in MMSE-K before, after, and follow-up(p<0.05), and there were differences of orientation for time, place, and object and attention in before, after, and follow-up(p<0.05). MoCA-K showed differences in before, after, and follow-up assessments(p<0.01), and showed differences in visual construction skill, orientation, and short-term memory(p<0.05). Finally, there was a difference in depression level before, after, and follow-up of KGDS(p<0.01). Therefore, IBGP for the elderly can help improve the cognitive function, and based on this, it is expected that an advanced IBGP will be applied to improve orientation for time and place in the elderly.

A Case Study on Real-time Live Video Streaming Content (실시간 방송 영상 콘텐츠 사례 연구)

  • SHI, YU;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.251-257
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    • 2021
  • With the development of new media, great changes are taking place in the way people get information. The change is the use of video content that can deliver content in a more three-dimensional way than words or photos. After 2016, the number of live video streaming content providers and users has increased. In this paper the write takes the 1 personal live video streaming content as the research object. And the write takes live video streaming content on YouTube live or Douyu TV as a research example. In this paper, the writer analyzes the digital information content in the live video streaming case. And the writer expounds the necessity of these visual information and the characteristics of real-time live video streaming content. Especially since 2020, because of the influence of the COVID-19, the live video streaming industry has begun to combine with the traditional industry. It is expected that the integration of digital cutting-edge technology and live video streaming will not only provide diversity in the content, but also create more social value for the video content consumption culture. Therefore, The writer thinks it is necessary to conduct in-depth research on the social responsibility of real-time live content in the future.

Reconstruction Of Photo-Realistic 3D Assets For Actual Objects Combining Photogrammetry And Computer Graphics (사진측량과 컴퓨터 그래픽의 결합을 통한 실제 물체의 사실적인 3D 에셋 재건)

  • Yan, Yong
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.147-161
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    • 2021
  • Through photogrammetry techniques, what current researches can achieve at present is rough 3D mesh and color map of objects, rather than usable photo-realistic 3D assets. This research aims to propose a new method to create photo-realistic 3D assets that can be used in the field of visualization applications. The new method combines photogrammetry with computer graphics modeling. Through the description of the production process of three objects in the real world - "Bullet Box", "Gun" and "Metal Beverage Bottle," it introduces in details the concept, functions, operating skills and software packages used in the steps including the photograph object, white balance, reconstruction, cleanup reconstruction, retopology, UV unwrapping, projection, texture baking, De-Lighting and Create Material Maps. In order to increase the flexibility of the method, alternatives to the software packages are also recommended for each step. In this research, 3D assets are produced that are accurate in shape, correct in color, easy to render and can be physically interacted with dynamic lighting in texture. The new method can obtain more realistic visual effects at a faster speed. It does not require large-scale teams, expensive equipment and software packages, therefore it is suitable for small studios and independent artists and educational institutions.

A Study on Virtual Environment Platform for Autonomous Tower Crane (타워크레인 자율화를 위한 가상환경 플랫폼 개발에 관한 연구)

  • Kim, Myeongjun;Yoon, Inseok;Kim, Namkyoun;Park, Moonseo;Ahn, Changbum;Jung, Minhyuk
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.4
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    • pp.3-14
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    • 2022
  • Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.