3,091 research outputs found

    Generalized Video Deblurring for Dynamic Scenes

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    Several state-of-the-art video deblurring methods are based on a strong assumption that the captured scenes are static. These methods fail to deblur blurry videos in dynamic scenes. We propose a video deblurring method to deal with general blurs inherent in dynamic scenes, contrary to other methods. To handle locally varying and general blurs caused by various sources, such as camera shake, moving objects, and depth variation in a scene, we approximate pixel-wise kernel with bidirectional optical flows. Therefore, we propose a single energy model that simultaneously estimates optical flows and latent frames to solve our deblurring problem. We also provide a framework and efficient solvers to optimize the energy model. By minimizing the proposed energy function, we achieve significant improvements in removing blurs and estimating accurate optical flows in blurry frames. Extensive experimental results demonstrate the superiority of the proposed method in real and challenging videos that state-of-the-art methods fail in either deblurring or optical flow estimation.Comment: CVPR 2015 ora

    Analyzing the Quality of Attention of a Client with Williams Syndrome During Improvisational Music Therapy

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    This study sought to investigate the effectiveness of improvisational music therapy for a client with Williams Syndrome (WS). The study employed both quantitative and qualitative analysis to assess the quality of attention of a client with WS during improvisational music therapy. The participant of this study was a teenage boy with Williams Syndrome who received music therapy at the Rebecca Center for Music Therapy and Molloy College in New York. The study analyzed the participant’s attention behaviors in musical-play by reviewing video recordings that had been made of the client’s therapy sessions at the Rebecca Center. To analyze the quantitative data, this study measured the client’s attention behaviors by using select dimensions (focusing on musical attention) of the Individual Music-Centered Assessment Profile for Neurodevelopmental Disorders (IMCAP-ND; Carpente, 2013). These ratings were examined for directionality of change over the course of five therapy sessions by using a linear regression analysis. For the qualitative analysis, video recordings were reviewed to determine separately the effects of improvisational therapy treatment on the client over the five sessions. The study described the quality of attention based on the linear regression graphs and notes about the sessions, including how the music therapist and client played music interactively, how the client improved, and what the client’s behavior meant

    Auxiliary Verbs as Head-adjoined Expressives in Korean: Against the Aspectual Approach

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    We examine the nature of the second verb (V2) in auxiliary verb constructions in Korean, in which one clause with two verbs denotes a single event. Arguing against the previous analyses that treat the V2 as an Aspect head, we propose that the V2 is head-adjoined to the v of the first verb (V1) and marks the speaker’s commitment toward the event described in the sentence

    Online Video Deblurring via Dynamic Temporal Blending Network

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    State-of-the-art video deblurring methods are capable of removing non-uniform blur caused by unwanted camera shake and/or object motion in dynamic scenes. However, most existing methods are based on batch processing and thus need access to all recorded frames, rendering them computationally demanding and time consuming and thus limiting their practical use. In contrast, we propose an online (sequential) video deblurring method based on a spatio-temporal recurrent network that allows for real-time performance. In particular, we introduce a novel architecture which extends the receptive field while keeping the overall size of the network small to enable fast execution. In doing so, our network is able to remove even large blur caused by strong camera shake and/or fast moving objects. Furthermore, we propose a novel network layer that enforces temporal consistency between consecutive frames by dynamic temporal blending which compares and adaptively (at test time) shares features obtained at different time steps. We show the superiority of the proposed method in an extensive experimental evaluation.Comment: 10 page

    Measuring Willingness to Accept for GM Food by Characteristics

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    Korean consumers' willingness to accept (WTA) for GM food are studied in this paper. This study compares hypothetical and nonhypothetical responses to choice experiment questions. We test for hypothetical bias in a choice experiment involving GM rice with differing characteristic attributes and multinomial logit model is applied to predict the estimated results. In general, hypothetical responses predicted higher probabilities of purchasing GM rice than nonhypothetical responses. Thus, hypothetical choices overestimate willingness to accept for GM rice. The results of this paper could contributes to government's GM food policies and subsequent studies, also improving economic welfare of farmers and consumers.GM Food, Willingness to Accept, Choice experiment, Hypothetical bias, Food Consumption/Nutrition/Food Safety,

    Connecting authors with readers: what makes a good review for the

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    The role of childbirth educators in the context of the COVID-19 pandemic

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