• Title/Summary/Keyword: 시각주의

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Activation-based Strategy and Spatial Strategy in Visual Search (시각탐사에서 활성화 기반 전략과 공간적 전략)

  • Lee, KangWoo;Shin, Myoung-Hee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.149-151
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    • 2014
  • 주의(attention)를 어떻게 할당하는가는 정신물리학뿐만 아니라, 컴퓨터 시각과정을 모델링하는데 중요한 주제 중 하나이다. 기존 연구는 saliency와 같은 활성화 값에 의해서 주의탐사 순위가 결정된다. 본 논문에서는 주의탐사과정을 병렬처리를 통한 활성화 값 추출과정과 순차적 처리를 통한 공간적 전략과정으로 구분하였다. 단서패러다임에 기초한 계산모형을 이용하여, 실제 인간의 수행결과를 AUC와 Levenshtein 척도를 이용하여 비교하였다. Fixation point 비교에서는 인간과 활성화를 기반으로 한 계산모형의 수행은 높은 상관성을 가지고 있었다. 주의궤적 혹은 scanpath 분석에서는 활성화기반 전략보다는 공간적 전략 모형이 더 높은 유사성을 보였다. 이는 주의탐사과정이 병렬처리과정을 통해 얻어진 saliency에 의해서만 결정되는 것이 아니라, 목표물간의 근접성 등의 공간적 전략을 통해 순차적 (sequential) 경로가 생성됨을 의미한다.

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Detection of ROIs using the Bottom-Up Saliency Model for Selective Visual Attention (관심영역 검출을 위한 상향식 현저함 모델 기반의 선택적 주의 집중 연구)

  • Kim, Jong-Bae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.314-317
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    • 2011
  • 본 논문은 상향식 현저함 모델을 이용하여 입력 영상으로부터 시각적 주의를 갖는 영역들을 자동으로 검출하는 방법을 제안한다. 제안한 방법에서는 인간의 시각 시스템과 같이 사전 지식 없이 시각정보의 공간적인 분포에 근거하여 장면을 해석하는 상향식 현저함 모델 방법을 입력 영상에 적용하여 관심 물체 영역을 검출하는 연구이다. 상향식 현저함 방법은 Treisman의 세부특징이론 연구에서 제시한 바와 같이 시각적 주의를 갖는 영역은 시각정보의 현격한 대비차이를 가지는 영역으로 집중되어 배경에서 관심영역을 구분할 수 있다. 입력 영상에서 현저함 모델을 통해 3차원 현저함 맵을 생성한다. 그리고 생성된 현저함 맵으로부터 실제 관심영역들을 검출하기 위해 제안한 방법에서는 적응적 임계치 방법을 적용하여 관심영역을 검출한다. 제안한 방법을 관심영역 분할에 적용한 결과, 영역 분할 정확도 및 정밀도가 약 88%와 89%로 제시되어 관심 영상분할 시스템에 적용이 가능함을 알 수 있다.

A Neural Network Model for Visual Selection: Top-down mechanism of Feature Gate model (시각적 선택에 대한 신경 망 모형FeatureGate 모형의 하향식 기제)

  • 김민식
    • Korean Journal of Cognitive Science
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    • v.10 no.3
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    • pp.1-15
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    • 1999
  • Based on known physiological and psychophysical results, a neural network model for visual selection, called FeaureGate is proposed. The model consists of a hierarchy of spatial maps. and the flow of information from each level of the hierarchy to the next is controlled by attentional gates. The gates are jointly controlled by a bottom-up system favoring locations with unique features. and a top-down mechanism favoring locations with features designated as target features. The present study focuses on the top-down mechanism of the FeatureGate model that produces results similar to Moran and Desimone's (1985), which many current models have failed to explain, The FeatureGate model allows a consistent interpretation of many different experimental results in visual attention. including parallel feature searches and serial conjunction searches. attentional gradients triggered by cuing, feature-driven spatial selection, split a attention, inhibition of distractor locations, and flanking inhibition. This framework can be extended to produce a model of shape recognition using upper-level units that respond to configurations of features.

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Computational Model for Proving Phonological Information a Role in Visual Korean Word Recognition (한국어 시각단어재인 과정에서의 음운정보 역할 규명을 위한 계산주의적 모델)

  • Park, Ki-Nam;Lim, Heui-Seok;Han, Kun-Hee
    • Proceedings of the KAIS Fall Conference
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    • 2007.05a
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    • pp.178-180
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    • 2007
  • 본 논문은 인간의 언어정보처리 과정 중 시각단어재인(visual word recognition) 과정에서 음운정보와 철자정보의 역할 및 심성어휘집의 표상 형태를 알아보기 위해, 계산주의적 모델을 제안하고, 제안된 모델을 이용하여 실험하였다. 실험결과 계산주의적 모텔은 한국어에 대한 시각 단어재인 시 보이는 언어현상 중 음운, 철자 이웃 크기효과(phonological and orthographic neighborhood effect)를 나타냈으며, 이를 통해 한국어 시각단어재인 과정에서 심성어휘집이 음운정보로 표상되어 있다는 것을 시사하는 증거를 보였다.

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A Study on the Analysis of Research Trends on the Attention Monitoring of Drivers During Driving Tasks (주행 시 운전자의 운전작업 중 주의집중 모니터링에 대한 연구 동향 분석)

  • Han, Gaeul;Kim, Jongbae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.383-386
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    • 2021
  • 본 논문에서는 주행 중 운전자의 운전작업 중 전방 주의집중 여부를 모니터링하는 연구 방안들을 조사하고 최신 연구 동향을 분석하였으며, 자율주행자동차에서 운전자의 주의집중이 필요한 상황들에 대해 사전에 안내하는 방안을 제시하고자 한다. 연구 동향을 조사한 결과 대부분의 방법은 시각 자료 기반과 생체신호 기반으로 진행하고 있다. 연구분석 결과를 바탕으로 두 가지 방법 중 본 연구에서는 시각 자료 기반 연구 방법에 초점을 맞추어, 자동차에 설치된 카메라를 통해 수집된 영상에서 운전자의 운전작업 주의 여부를 식별하는 방법들에 대해서 분석을 진행하였다. 주행 영상에서 HoG(histogram of oriented gradients) 특징과 딥러닝 학습을 통해 운전자의 주의집중 여부를 모니터링하는 방법이 효과적임을 제시한다. 본 연구조사를 통해 분석된 운전자 모니터링 방안들을 자율주행 자동차에 적용하기 위한 운전자 주의 태만 경고시스템에 적용이 가능함을 제시한다.

Main Cause of the Interference between Visual Search and Spatial Working Memory Task (시각 탐색과 공간적 작업기억간 상호 간섭의 원인)

  • Ahn Jae-Won;Kim Min-Shik
    • Korean Journal of Cognitive Science
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    • v.16 no.3
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    • pp.155-174
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    • 2005
  • Oh and Kim (2004) and Woodman and Lurk (2004) demonstrated that spatial working memory (SWM) load Interfered concurrent visual search and that search process also impaired the maintenance of spatial information implying that visual search and SWM task both require access to the same limited-capacity mechanism. Two obvious possibilities have been suggested about what this shared limited-capacity mechanism is: common demand for attention to the locations where the items f9r the two tasks were presented (spatial attention load hypothesis), and common use of working memory to maintain a record of locations have been processed(SWM load hypothesis). To test these two hypothetical explanations, Experiment 1 replicated the mutual interference between visual search and SWM task in spite of difference of procedure with preceding researches; possible areas where the items for two tasks were presented were not separated. In Experiment 2, we presented the items for visual search either in the same quadrants where the items for SWM task had appeared (same-location rendition) or in the different quadrants (different-location condition). As a result, search efficiency was more impaired in the different-location condition than in the same-location condition. The memory accuracy was worse in the different-location rendition than in the same-location rendition. Overall results of study indicate that the mutual interference between SWM and visual search might be related to the overload of spatial attention, but not to that of SWM.

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Hand Proximity Effect on Task Switching Performance Through Cue Modality (손 근접성이 단서양상에 따라 과제전환 수행에 미치는 효과)

  • Choi, Jeongyoon;Han, Kwanghee
    • Science of Emotion and Sensibility
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    • v.21 no.2
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    • pp.73-88
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    • 2018
  • The present study examined how processing features of visual information near the hand would affect task switching. Recent studies reported enhanced cognitive control of visual information presented the near hands. To investigate the enhancement of cognitive control based on the relationship between hand proximity and attention, we implemented 2 experiments. In the task switching performance experiment, the hand proximity effect depended on modality of cue and target. The first experiment showed that stimuli near the hand received greater cognitive control than stimuli far from the hand, resulting in smaller switch cost. The result could rule out the feature-binding problem, which identifies reduced switch cost as the cause instead of hand proximity. Our results show that hand proximity actually reduced switch cost. In the second experiment, we examined the effects of hand nearness, modality, and their interaction on switch cost. In task switching, the target was always visual, and the cue was presented either visually or auditorily. In addition, we manipulated the cue-target interval to observe the preparation effect of cue. The results showed that a visual cue near the hand reduced switch cost by shortening task preparation time. Also, modality switching between an auditory cue and visual target was remarkable in a hand-near condition. The results for the visual cue could be interpreted as a benefit of rapid visual attention orienting. On the other hand, the results for the auditory cue could be interpreted as the cost of interference of modality switching by slower attentional disengagement of stimuli near the hands. Finally, modulation of switch cost by attention induced by hand nearness was discussed.

The Effect of Affective Valence, Perceived Self-Relevance, and Visual Attention on Attitudes toward PSA's Issues: Moderated Mediation of Digital EEG Arousal (공익캠페인의 정서성, 자아관련성, 시각적 주의가 캠페인 태도에 미치는 영향: 디지털 뇌파(EEG) 기반 각성의 조절된 매개효과)

  • Yang, Byung-hwa;Jo, A-young
    • Journal of Digital Convergence
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    • v.15 no.3
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    • pp.107-117
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    • 2017
  • This study examined the conditional indirect effect of EEG (electroencephalogram) arousal on the relationship among affective valence, visual attention, perceived self-relevance, and attitudes toward campaign issues in the context of public service announcements (PSAs). Using SPSS macro (No. 14) of conditional process model, the findings in this current study indicated that the perceived self-relevance mediates the relationship between affective valence of PSA and attitudes toward issues and, in turn, is moderated by EEG arousal, indicating goodness-of-fit of the moderated mediation of psychophysiological arousal on PSAs. The results suggested that management of PSAs should be considered the strategic combination between affective valence and perceived self-relevance in advertising appeals.

Visual Attention on Subtitles of CATV Entertainment Program : Focused on tvN (케이블방송 예능프로그램 자막의 시각적 주의 : tvN <꽃보다 할배>를 중심으로)

  • Kang, Mi-Young;Kang, Seung-Mook
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.64-75
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    • 2014
  • This study has attempted to explore the audience's visual attention about the subtitles types of CATV entertainment program. To achieve this, this research has measured the dwell time and average fixation data through the eye-tracking test and analysed the reason of particular visual attention by in-depth interview. According to the eye-tracking research findings, four types of subtitles(character metaphor, character metonymy, event metaphor, event metonymy) were measured the highest dwell time and average fixation time. Also, according to in-depth interview, visual attention was clearly turned up that event metonymy constructs the conflicts between characters and overstates the trip place romantically. This results means that staffs of intensify the reality and visual pleasure through event metonymic subtitles.

Detection of Visual Attended Regions in Road Images for Assisting Safety Driving (안전 운전 지원을 위한 도로 영상에서 시각 주의 영역 검출)

  • Kim, Jong-Bae
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.1
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    • pp.94-102
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    • 2012
  • Recently entered into an aging socity as the number of elderly drivers is increasing. Traffic accidents of elderly drivers are caused by driver inattentions such as poor vehicle control due to aging, visual information retrieval problems caused by presbyopia, and objects identifying problems caused by low contrast sensitivity. In this paper, detection method of ROIs on the road is proposed. The proposed method creates the saliency map to detect the candidate ROIs from the input image. And, the input image is segmented to obtain the ROIs boundary. Finally, selective visual attention regions are detected according to the presence or absence of a segmented region with saliency pixels. Experimental results from a variety of outdoor environmental conditions, the proposed method presented a fast object detection and a high detection rate.