996 resultados para road signs


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In this paper, we investigate the problem of classifying a subset of environmental sounds in movie audio tracks that indicate specific indexical semiotic use. These environmental sounds are used to signify and enhance events occurring in film scenes. We propose a classification system for detecting the presence of violence and car chase scenes in film by classifying ten various environmental sounds that form the constituent audio events of these scenes using a number of old and new audio features. Experiments with our classification system on pure test sounds resulted in a correct event classification rate of 88.9%. We also present the results of the classifier on the mixed audio tracks of several scenes taken from The Mummy and Lethal Weapon 2. The classification of sound events is the first step towards determining the presence of the complex sound scenes within film audio and describing the thematic content of the scenes.

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In this paper, we study the sound tracks in films and their indexical semiotic usage by developing a classification system that detects complex sound scenes and their constituent sound events in cinema. We investigate two main issues in this paper: Determination of what constitutes the presence of a high level sound scene and inferences about the thematic content of the scene that can be drawn from this presence, and classification of environmental sounds in the audio track of the scene, to assist in the automatic detection of the high level scene. Experiments with our classification system on pure sounds resulted in a correct event classification rate of 88.9%. When the audio content of a number of film scenes was examined, though a lower accuracy resulted with sound event detection due to the presence of mixed sounds, the film audio samples were generally classified with the correct high-level sound scene label, enabling correct inferences about the story content of the scenes.

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PURPOSE. To investigate the on-road driving performance of patients with glaucoma.

METHODS. The sample comprised 20 patients with glaucoma and 20 subjects with normal vision, all licensed drivers, matched for age and sex. Driving performance was tested over a 10-km route incorporating 55 standardized maneuvers and skills through residential and business districts of Halifax, Nova Scotia, Canada. Testing was conducted by a professional driving instructor and assessed by an occupational therapist certified in driver rehabilitation, masked to participant group membership and level of vision. Main outcome measures were total number of satisfactory maneuvers and skills, overall rating, and incidence of at-fault critical interventions (application of the dual brake and/or steering override by the driving instructor to prevent a potentially unsafe maneuver). Measures of visual function included visual acuity, contrast sensitivity, and visual fields (Humphrey Field Analyzer; Carl Zeiss Meditec, Inc., Dublin, CA; mean deviation [MD] and binocular Esterman points).

RESULTS. There was no significant difference between patients with glaucoma (mean MD = −1.7 dB [SD 2.2] and −6.5 dB [SD 4.9], better and worse eyes, respectively) and control subjects in total satisfactory maneuvers and skills (P = 0.65), or overall rating (P = 0.60). However, 12 (60%) patients with glaucoma had one or more at-fault critical interventions, compared with 4 (20%) control subjects (odds ratio = 6.00, 95% CI, 1.46–24.69; higher still after adjustment for age, sex, medications and driving exposure), the predominant reason being failure to see and yield to a pedestrian. In the glaucoma group, worse-eye MD was associated with the overall rating of driving (r = 0.66, P = 0.002).

CONCLUSIONS. This sample of patients with glaucoma with slight to moderate visual field impairment performed many real-world driving maneuvers safely. However, they were six times as likely as subjects with normal vision to have a driving instructor intervene for reasons suggesting difficulty with detection of peripheral obstacles and hazards and reaction to unexpected events.

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The nomination of John Kerry as the new US Secretary of State will be generally welcomed in Pakistan.  But the US-Pakistan bilateral relationship will continue to be difficult.

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Modeling and simulation is commonly used to improve vehicle performance, to optimize vehicle system design, and to reduce vehicle development time. Vehicle performances can be affected by environmental conditions and driver behavior factors, which are often uncertain and immeasurable. To incorporate the role of environmental conditions in the modeling and simulation of vehicle systems, both real and artificial data are used. Often, real data are unavailable or inadequate for extensive investigations. Hence, it is important to be able to construct artificial environmental data whose characteristics resemble those of the real data for modeling and simulation purposes. However, to produce credible vehicle simulation results, the simulated environment must be realistic and validated using accepted practices. This paper proposes a stochastic model that is capable of creating artificial environmental factors such as road geometry and wind conditions. In addition, road geometric design principles are employed to modify the created road data, making it consistent with the real-road geometry. Two sets of real-road geometry and wind condition data are employed to propose probability models. To justify the distribution goodness of fit, Pearson's chi-square and correlation statistics have been used. Finally, the stochastic models of road geometry and wind conditions (SMRWs) are developed to produce realistic road and wind data. SMRW can be used to predict vehicle performance, energy management, and control strategies over multiple driving cycles and to assist in developing fuel-efficient vehicles.

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For more than forty thousand years Aboriginal people of Australia have been confronted with major climate, ecological and geological changes as well as annual seasonal variations. Many of these changes have been captured in the cultural traditions of Maar (the people) of the south-west Victorian coast and the knowledge has been transferred from generation to generation through Dreaming stories. Many Dreaming stories recount the forming of the coastal landscape and Sea Country. Weather patterns and climate change were gauged by the occurrence of natural events such as the tidal changes, sea level rise, landscape changes, behaviour of animals, and the availability of food sources. Can this ancient knowledge provide answers for adaptation and resilience to a rapid changing climate? Drawing upon recent literature on coastal climate change in the Great Ocean Road Region (GORCC, 2012), literature review of indigenous environmental planning (Kooyang Sea Country Plan, 2004), and investigation of settlement patterns of the Wathaurong and Gadubanud people, this paper reviews the changes in the landscape due to climate change and explores traditional knowledge as input to a potential design based adaptation model for coastal settlements of the Great Ocean Road Region.

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Jorge Lorenzo Flores Garza’s On the Road by Jack Kerouac had its Australian premiere in July this year at the Walker Street Gallery in Melbourne. It screened as part of the ‘Outside the Outside’ series curated by Dirk de Bruyn and Glenn D’Cruz, and was introduced by Steven McIntyre.

On the Road by Jack Kerouac is the most recent work by Mexican filmmaker Jorge Lorenzo, whose previous 1/48” (2008) was listed in Cahiers du Cinéma’s top 10 most subversive films of all time. Somewhere between a book on a film, and a film of a book, Lorenzo’s work is an exact re-typing of Jack Kerouac’s On the Road, made by threading a continuous roll of 35mm negative (like Kerouac’s original scroll) through a Olivetti typewriter.