Perspective Scene Research Articles

Analysis of Two Kinds of MV Trailer Creation Content

MV trailer is the MV inside the more eye-catching or eye-catching, to attract everyone's attention, it is a very effective way to promote the MV. This paper focuses on two different types of MV trailer type creation features, and analyzes the visual effect of MV trailer to attract the public with theoretical and practical significance. Using two representative female groups thumb amount of the first five MV forecast data in this paper found: (1) dance type MV forecast play characteristic is the music of chorus accompaniment with a short dance and different perspective scene to catch the public eye; (2) Story type MV forecast is characterized by some specific scene and perspective transformation suggested that the subsequent MV story. This paper aims to analyze the theoretical and practical significance of the visual effects of MV trailers in attracting the public by studying the creative characteristics of different types of MV trailers, and provide reference for the subsequent MV releases for better publicity.

Blockchain Scenes: A Research Agenda

Over the last fifteen years, the development of blockchain technologies has attracted a large volume of professional expertise, capital investment and media attention. This burgeoning sector of technology practices has coalesced around a few major initiatives (Bitcoin, Ethereum), but it is still moving at a fast pace and its configuration is evolving. If this sector is marked by a variety of technological protocols, financial arrangements and organizational forms, it is also, we would argue, a site of social effervescence. Parties, meet-ups, and the sorts of informal socializing which gather around events and networks of all kinds function to endow the blockchain sector with the characteristics of what, in cultural analysis, are often called “scenes”. The aim of this special issue is to examine the interest of the notion of scene for the analysis of blockchain practices. We argue that the notion of scene may be mobilized as a useful analytical framework not only for the study of blockchain practices, but for that of technology practices more generally. In this introductory article, we ask the following questions: how can the notion of scene contribute to the understanding of blockchain practices? And what sort of research agenda does the notion point to? In the following sections we first identify some “scenic” components in blockchain phenomena. Then we review how media discourses and academic scholarship have framed these phenomena to show that the scene perspective is undertheorized in the context of technology-related social groupings. Finally, we propose a framework to analyse the main dimensions of blockchain scenes, before presenting the contributions to the special issue. With this special issue, we aim to establish a research agenda around technology scenes at the junction of STS and cultural analysis.

Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery

A high-quality built environment is important for human health and well-being. Assessing the quality of the urban built environment can provide planners and managers with decision-making for urban renewal to improve resident satisfaction. Many studies evaluate the built environment from the perspective of street scenes, but it is difficult for street-view data to cover every area of the built environment and its update frequency is low, which cannot meet the requirement of built-environment assessment under rapid urban development. Earth-observation data have the advantages of wide coverage, high update frequency, and good availability. This paper proposes an intelligent evaluation method for urban built environments based on scene understanding of high-resolution remote-sensing images. It contributes not only the assessment criteria for the built environment in remote-sensing images from the perspective of visual cognition but also an image-caption dataset applicable to urban-built-environment assessment. The results show that the proposed deep-learning-driven method can provide a feasible paradigm for representing high-resolution remote-sensing image scenes and large-scale urban-built-area assessment.

On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval.

Visual-semantic embedding (VSE) networks create joint image–text representations to map images and texts in a shared embedding space to enable various information retrieval-related tasks, such as image–text retrieval, image captioning, and visual question answering. The most recent state-of-the-art VSE-based networks are: VSE++, SCAN, VSRN, and UNITER. This study evaluates the performance of those VSE networks for the task of image-to-text retrieval and identifies and analyses their strengths and limitations to guide future research on the topic. The experimental results on Flickr30K revealed that the pre-trained network, UNITER, achieved 61.5% on average Recall@5 for the task of retrieving all relevant descriptions. The traditional networks, VSRN, SCAN, and VSE++, achieved 50.3%, 47.1%, and 29.4% on average Recall@5, respectively, for the same task. An additional analysis was performed on image–text pairs from the top 25 worst-performing classes using a subset of the Flickr30K-based dataset to identify the limitations of the performance of the best-performing models, VSRN and UNITER. These limitations are discussed from the perspective of image scenes, image objects, image semantics, and basic functions of neural networks. This paper discusses the strengths and limitations of VSE networks to guide further research into the topic of using VSE networks for cross-modal information retrieval tasks.

Baldassare Peruzzi and Theatrical Scenery in Accelerated Perspective

From the early sixteenth century, stage sets in the Italian theatre were constructed in accelerated perspective. The stage and scenery were shallow, but the sets give illusions of much deeper spaces—typically piazzas and receding streets surrounded by buildings. The best-known example is Sebastiano Serlio’s temporary theatre of 1539 described in his second book on Architecture. This paper argues that the accelerated perspective scene was first introduced by Serlio’s master Baldassare Peruzzi for productions of the comedy La Calandria in 1514 and 1520, and then for Le Bacchidi by Plautus in Rome in 1531. Detailed working drawings survive for the set of Le Bacchidi and are used here for the first time to explain Peruzzi’s method by constructing a scale model, giving a vivid sense of how the illusion worked and would have appeared to the audience. It is suggested that Peruzzi was inspired in part by the architectural backgrounds of a number of fifteenth-century paintings. His invention had a profound influence on stage design for the next two centuries, as shown by surviving sets and handbooks of stagecraft.

An Interactive Perspective Scene Completion Framework Guided by Complanate Mesh

This paper presents an efficient interactive framework for perspective scene completion and editing tasks, which are available largely in the real world but rarely studied in the field of image completion. Considering that it is quite hard to extract perspective information from a single image, this work starts from a friendly and portable interactive platform to obtain the basic perspective data. Then, in order to make this interface less sensitive, easier and more flexible, a perspective-rectification based correction mechanism is proposed to iteratively update the locations of the initial points selected by users. At last, a complanate mesh is generated by the geometry calculations from these corrected initial positions. This mesh must approximate the perspective direction and the structure topology as much as possible so that the filling process can be conducted under the constraint of the perspective effects of the original image. Our experiments show the results with good qualities and performances, and also demonstrate the validity of our approaches by various perspective scenes and images.

A convolutional neural‐network‐based pedestrian counting model for various crowded scenes

AbstractPedestrian counting from unconstrained images is an important task in various applications such as resource management, transportation engineering, urban design, and advertising, but it is greatly challenged by some factors such as interocclusion, cross‐scene, scale, and scene perspective distortion. Traditional image‐based methods suffer from them, and the performance of conventional sensor‐based methods such as Kinect and LASER degrades gradually with the increase in pedestrian count and distance from the device to pedestrians. Based on these challenges, this paper proposes a new network model making use of stacked multicolumn convolutional neural networks (CNNs) for pedestrian counting. The human's head features are used to replace the whole body for solving the problem of serious occlusion and choose multicolumn CNNs for dealing with scale and scene perspective distortion. Also, pretrained VGG‐16 is used to generate deeper detailed features and expand the receptive field of the model. Extensive analysis and experiments on current major pedestrian counting datasets show that the proposed network model has considerable advantages in pedestrian counting tasks compared to other state‐of‐the‐art models, and the proposed network model has an improvement effect for the training process. Moreover, the visual differences between the generated density map and ground‐truth density map are visualized and analyzed quantitatively to demonstrate the feasibility of the model.

ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

The task of crowd counting and density maps estimating from videos is challenging due to severe occlusions, scene perspective distortions and diverse crowd distributions. Conventional crowd counting methods via deep learning technique process each video frame independently with no consideration of the intrinsic temporal correlation among neighboring frames, thus making the performance lower than the required level of real-world applications. To overcome this shortcoming, a new end-to-end deep architecture named Spatial-Temporal Convolutional Neural Network (ST-CNN) is proposed, which unifies 2D convolutional neural network (C2D) and 3D convolutional neural network (C3D) to learn spatial-temporal features in the same framework. On top of that, a merging scheme is performed on the resulting density maps, taking advantages of the spatial-temporal information simultaneously for the crowd counting task. Experimental results on two benchmark data sets â Mall dataset and WorldExpo′10 dataset show that our ST-CNN outperforms the state-of-the-art models in terms of mean absolutely error (MAE) and mean squared error (MSE).

Multiple Photographs of a Perspective Scene Reveal the Principles of Picture Perception.

A picture is a powerful and convenient medium for inducing the illusion that one perceives a three-dimensional scene. The relative invariance of picture perception across viewing positions has aroused the interest of painters, photographers, and visual scientists. This study explores variables that may underlie the invariance. It presents a computational analysis of distances and directions in sets of two photographs of perspective scenes taken from different camera positions. Focal lengths of the lens and picture sizes are chosen such that the sizes of one of the familiar objects are equally large in both photographs. The selected object is perceived at the same distance in both photographs, independent of viewing distance, showing that pictorial distance is fully determined by angular size of the object. Pictorial distance is independent of camera position, focal length of the lens, and picture size. Distances and directions of pictorial objects are computed as a function of viewing distance, and compared with distances and directions of the physical objects as a function of camera position. The computations show that ratios between pictorial distances, directions, and angular sizes of objects in a photograph are constant, as a function of viewing distance. The constant ratios are proposed as the reason for invariance of picture perception over a range of viewing distances. Reanalysis of distance judgments obtained from the literature shows that perspective space, previously proposed as the model for visual space, is also a good model for pictorial space. The geometry of pictorial space contradicts some conceptions about picture perception.

An Acoustic Scene Perspective on Spatial, Temporal, and Spectral Aspects of Marine Mammal Behavioral Responses to Noise

An Acoustic Scene Perspective on Spatial, Temporal, and Spectral Aspects of Marine Mammal Behavioral Responses to Noise

Point of Gaze Estimation Using Corneal Surface Reflection and Omnidirectional Camera Image

We present a human point of gaze estimation system using corneal surface reflection and omni-directional image taken by a fish eye. Only capturing an eye image, our system entables to find where a user is looking in 360P surrounding scene image. We first generates multiple perspective scene images from an equi-rectangular image and perform registration between corneal reflection and perspective images. We then compute the point of gaze using a 3D eye model and project the point to an omni-directional image. We evaluated the robustness of registration and accuracy of PoG estimations using two indoor and five outdoor scenes, and found that gaze mapping error was 5.526[deg] on average. This result shows the potential to the marketing and outdoor training system.

One year exploring Qatar's ambulance service: Views from an Emergency Medicine Fellow

Introduction: Pre-hospital care professionals work outside or in confined spaces. Issues like population demography, cultural diversity, geography, roads, and climate regularly challenge them. Some of these factors might be overlooked by the hospital-based mentality of other clinicians. Providing them an opportunity to accompany paramedics in their own environment may help them better understand the paramedics' role and scope of practice, and improve the patient handover process between these two “alienated worlds” of medical professionals. Methods: An Emergency Medicine Specialist spent 12 months within Qatar's national Ambulance Service. Regular rotations through its various departments were facilitated, including an 8-week ride along with a Rapid Response Vehicle (Delta unit) dealing with emergency calls. A daily journal was written to record the experiences and audit data was accessed to gain a deeper understanding of the Service. Results: This experience was an eye opener. Delta officers are very experienced and can provide a global perspective of the operations. Their main focus is safety from a 360-degree scene perspective, team leadership, and communication. The type of calls and circumstances provided a unique view of the scene realities. Ambulance crews were observed dealing with difficult situations, assessing patients, and initiating treatment in challenging environments. Depending on the type of emergency, Ambulance Paramedics were joined by a Critical Care Paramedic who has more advanced skills and the ability to administer a broader range of medications. Conclusion: This program has been effective at introducing a hospital-based clinician to the pre-hospital world and should be Considered to all Emergency Fellows. It highlighted the complexities of working in the community with limited resources and the importance of communication to ensure the provision of safe and effective care. Understanding the Ambulance Service staff's level of competency will also enhance the handover process and help build trust in the Paramedics.

Parallel Multiview Video Coding Exploiting Group of Pictures Level Parallelism

This paper presents the use of a computer cluster with heterogeneous computing components to provide concurrency and multi-level parallelism at coarse grain and massive fine-grain for multiview video coding (MVC) applications. MVC involves coding of multiple video sequences that are taken from the same scene but different perspective. In addition to motion estimation (ME) used in conventional video coding for single view video for exploiting inter-frame temporal similarities, MVC adopts disparity estimation (DE) to further increase compression. To overcome the huge computational cost associated with ME and by extension with DE, attention has been mainly focused on developing fast ME/DE algorithms. Although fast ME/DE algorithms bring substantial speedup, to achieve realtime MVC encoding, it requires further acceleration of the coding process at higher levels. Towards this end, this paper proposes a multiple-view-parallel, multiple-interleaved group of pictures (multiple-IGOP) scheduling scheme for MVC. When evaluated over eight views, with no loss in rate distortion (RD) performance, the proposed scheme outperforms view-sequential coding by a factor of up to 12.4 and 12.3, respectively, for two popular prediction structures, IBP and IPP.

Entre dos luces: la evolución de la escenografía

Spanish xviiith century scenography struggles between the light of reason and the light of faith and evolves from frontal perspective to oblique perspective, being the later more in accordance with the Enlightenment idea of theater. The unique vanishing point of frontal perspective represents infinity and the view point is identified with the king’s eye in courtly theater performances. The two vanishing points in oblique perspective blurs the identification of power with perspective as it places infinity out of the limits of the scene and makes scenography more available for everyone including actors. Also the height of the view point changes being lowered from the position of the king’s eye so that spectators in the stalls were able to appreciate better the perspective scene (Bails). On the other hand scenography also struggles between sun light in the «corrales» and artificial light in the roofed theaters. Even in these ones the struggle is between footlights and reflectors. But above all scenography moves between the light of reason and the light that the illusion of theater stage radiates.

Research and Development of 3D Driving Simulation System Based on Newton Dynamics Engine and Open Scene Graph Engine

Due to the problems that the fidelity of driving scenes in 3D driving simulation system is not high and the development cost is expensive, present an implementation method of the 3D driving simulating system by using VC++ development platform and combining Newton Dynamics Engine with Open Scene Graph Engine which are all open source. Multi-sensor fusion technology is also used to control the movement and collision reaction of the vehicle, and to switch scene perspective. The result proves that this method has the advantages of low software development cost, high scene fidelity and excellent dynamic effect.

A 3D Perspective Display Cube for Multiview Tracking

This paper describes an eye naked 3D display cube, which can track a viewer’s position and render the stereo perspective scene in each display surface. The viewers can look the details of 3D models and scenes from any viewpoints. It seems as the real 3D objects lay in the display cube. It supports multi-viewer interactive in one scene. The viewers also can see the position of each other in own screen. They can co-operate in the same scene, although their field of view is independent of each other. The technologies of 3D perspective rendering, marker tracking and image processing are used for the 3D display cube.

Emotional triangles: A test of emotion-based attentional capture by simple geometric shapes

Previous work has proposed that simple geometric shapes, carrying the features present within negative or threatening faces are especially effective at capturing or guiding attention. Here we test this account and provide converging evidence for a threat-based attentional advantage. Experiment 1 found that downward-pointing triangles continue to be detected more efficiently than upward-pointing triangles when: (i) both overall RT and search slope measures are obtained; and (ii) when the set size is varied and the stimuli are presented in random configurations. Experiment 2 tested and ruled out an alternative account of the selection advantage, based on differences between triangle shape consistencies with scene perspective cues. Overall, the data provide converging evidence that simple geometric shapes, which might be particularly important in providing emotional signals in faces, can also attract attention preferentially even when presented outside of a face context.

Viewing Priam: Wedding Diction in Priam’s Speech-Acts in the 'Teichoscopia'

Commentators have long noted the peculiarity in the questions posed by Priam regarding the identity of the Achaean leaders in the tenth year of the Trojan War. The section known as “teichoskopia” in Iliad 3.161-244 has an idiosyncratic relationship with the narrative time of the Iliad. The entire book 3 of the Iliad has been read from many angles, emphasizing Helen’s position in epic poetry and poetics and self-referentiality of epic (e.g. Clader 1976, Bergren 1980, Pucci 1993, Worman 2001, Elmer 2005, Martin 2007). The exchange between Helen and Priam is problematic in multiple ways. Moreover, the affinities of this passage with passages from the Odyssey have presented further challenges in its interpretation. Much of the diction is typical in guest scenes (Higbie 1995, Mackie 1996, Tsagalis 2008). Other scholars have regarded the “teichoskopia” as an earlier part of Trojan war narratives (Parry 1966, Kakridis 1971, Edwards 1980, Postlethwaite 1985). Other readings put forth the cognate perspective of wooing and counter-wooing scenes in the indo-european tradition (Jamison 1994). While most studies on Iliad 3 have focused on Helen, this paper analyzes Priam’s speech act from the perspective of traditional poetics and reflections of other speech genres in the Iliad. As I argue, the topoi of traditional discourse around weddings permeate the epic fabric. Priam’s discourse exhibits elements of the tradition of praise, eikasia and makarismos that are aptly placed in the iliadic context. It is a communis opinio that performances at wedding are centered around praise for the couple. The core of the song is praise, possibly modeled on an ainos poetry that seeks to extol the beauty of the bride and the strength of the groom. The wedding theme appears not infrequently in Homeric narrative (e.g. Il. 18.490-496; Od. 4. 1-19; Od. 6 passim; Od. 15.125-127; Od. 23.129-140) but typology and forms of wedding poetry enrich the epic fabric in more subtle ways. While similar strategies have been explored in the Odyssey (Hague 1983) wedding diction in the Iliad remains largely unexplored. A detailed reading of Priam’s questions to Helen shows how he orchestrates the praise of all the Achaean leaders with regards to the size of their appearance, something that can be read against wedding song poetics (as in Sappho. fr. 111). Moreover, Priam’s address to Agamemnon’s name includes a makarismos, also typical in wedding related diction (cf. Hes. Fr. 211 M.-W). The references to Odysseus include an eikasia that likens Odysseus to a ram. While Helen initially responds to Priam using a language that exhibits the strategy of the expert lamenter in a discourse of blame and guilt, she later corresponds her answers to the speech acts of Priam and offers information on more Achaean leaders on the field of Troy (Ajax and Idomeneus). The same preoccupations with size and eikasia are present in Helen’s answers that complement Priam’s speech. This paper focuses on Priam’s speech and aims to shed more light to our understanding of interdiscursivity in epic poetry by highlighting the narrative associations that Priam’s language conveys. Priam’s language renegotiates Helen’s position in the stories around Trojan War and places it in the context of the poetic tradition around Helen’s suitors.SELECTED BIBLIOGRAPHYBergren, Ann 1980. Helen's Web: Time and Tableau in the Iliad . Helios 7(1): 19-34Clader, L.L. 1976. Helen: The Evolution from Divine to Heroic in Greek Epic Diction. Leiden.Edwards, M.W. 1980. “Structure of Homeric Catalogues.” TAPA 110: 81-105.Elmer, D. 2005. “Helen Epigrammatopoios” Classical Antiquity 24.1: 1-39.Higbie, C. 1995. Heroes’ Names: Homeric Identities. New York and London.Jamison, S.W. 1994. “Draupadi on the Walls of Troy: Iliad 3 from an Indic Perspective.” Classical Antiquity 13: 5-16. Kakridis, I. 1971. Homer Revisited. Lund. Mackie, H. 1996. Talking Trojan: Speech and Community in the Iliad. London.Martin, Richard. 2007. “Keens from the Absent Chorus: Troy to Ulster.” In Lament: Studies in Ancient Mediterranean. A. Suter (ed.) Oxford: 118-138.Postlethwaite N. 1985. “The duel of Paris and Menelaos and the Teichoskopia in Iliad 3.” Anthichthon 19: 1-6.Pucci, P. 2003. “Prosopopee d’ Helene.” Le mythe d’ Helene, ed. M. Broze et al., 89-119. Brussels.Roisman, H. 2006. “Helen in the Iliad; Causa Belli and Victim of War: From Silent Weaver to Public Speaker” American Journal of Philology 127.1: 1-36Tsagalis, C. 2008. The Oral Palimpsest: Exploring Intertextuality in the Homeric Epics. Washington DC: Center for Hellenic Studies.Tsagarakis O. 1982. “The teichoskopia cannot belong in the beginning of the Trojan war.” QUCC 41 : 61-72.Worman 2001. “This Voice which is Not One: Helen’s Verbal Guises in Homeric Epic.” In Making Silence Speak: Women’s Voices in Greek Literature and Society, ed. A. Lardinois and L. McClure, 19-37. Princeton.

MDA기반 이동 단말 시스템 소프트웨어 개발 기법

Product-line engineering is a dreaming goal in software engineering research. Unfortunately, the current underlying technologies do not seem to be still not much matured enough to make it viable in the industry. Based on our experiences in working on mobile telephony systems over 3 years, now we are in the course of developing an approach to product-line engineering for mobile telephony system software. In this paper, the experiences are shared together with our research motivation and idea. Consequently, we propose an approach to building and maintaining telephony application logics from the perspective of scenes. As a Domain-Specific Language(DSL), Menu Navigation Viewpoint(MNV) DSL is designed to deal with the problem domain of telephony applications. The functional requirements on how a set of telephony application logics are configured can be so various depending on manufacturer, product concept, service carrier, and so on. However, there is a commonality that all of the currently used telephony application logics can be generally described from the point of user`s view, with a set of functional features that can be combinatorially synthesized from typical telephony services(i.e. voice/video telephony, CBS/SMS/MMS, address book, data connection, camera/multimedia, web browsing, etc.), and their possible connectivity. MNV DSL description acts as a backbone software architecture based on which the other types of telephony application logics are placed and aligned to work together globally.

Indirect Vision Driving with Fixed Flat Panel Displays for Near Unity, Wide, and Extended Fields of Camera View

A field study with eight participants negotiating a road course in a military vehicle measured the driving performance for natural and indirect vision. The indirect vision system was driven with fixed panoramic flat panel, liquid crystal displays (LCD) in the cab and a forward viewing monocular camera array mounted on the front roof of the vehicle and tilted slightly downward. The results are that for benign driving conditions (a well-marked course, good visibility, and essentially flat terrain), the participants successfully drove the vehicle with indirect vision for the different fields of view (FOV) of the cameras: near unity, wide, and extended. However, they drove the course faster and made fewer lane marker strikes with natural vision than they did with the indirect vision systems. Further, the course speed significantly decreased with increased camera FOV, while the number of lane marker strikes increased slightly. Workload ratings show a significant increase in perceived workload with indirect vision, while a test of situational awareness shows an increase in demand component. While the heart rate increased significantly with course speed because of the increased exertion, the predicted metabolic work output was least for the natural vision and increased with the indirect FOV because of the longer course times. Most participants reported a discomfort associated with motion sickness while in the moving vehicle with the displays, The subjective stress rating of the drivers was least for natural vision and increased with indirect FOV. In comparing the camera's FOV, the driving performance was fastest with the near unity FOV. However, cognitive processing tests show a trend for improved spatial rotation and map planning with the wide FOV, a design which was selected by the researchers to provide a balance of the resolution needed for obstacle avoidance and scene perspective for course following.