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In this work we analyze the complex trade-off between data transfer, computation time, and power consumption when a multi-stage data-intensive algorithm (in this case video stabilization) is split between a low power mobile device and high power cloud server. We evaluate design choices in terms of which intermediate representations should be transferred to the server and back to the mobile device,...
The exponential growth of mobile videos has enabled a variety of video crowdsourcing applications. However, existing crowdsourcing approaches require all video files to be uploaded, wasting a large amount of bandwidth since not all crowdsourced videos are useful. Moreover, it is difficult for applications to find desired videos based on user-generated annotations, which can be inaccurate or miss important...
A network of drone cameras can be deployed to cover live events, such as high-action sports game played on a large field, but managing networked drone cameras in real-time is challenging. Distributed approaches yield suboptimal solutions from lack of coordination but coordination with a centralized controller incurs round-trip latencies of several hundreds of milliseconds over a wireless channel....
Detecting students' attention in class provides key information to teachers to capture and retain students' attention. Traditionally, such information is collected manually by human observers. Wearable devices, which have received a lot of attention recently, are rarely discussed in this field. In view of this, we propose a multimodal system which integrates a head-motion module, a pen-motion module,...
Smart parking solutions for big cities are critically important for reducing traffic congestion and vehicle energy consumption in big cities. Visual-based detection methods have been proposed since their maintenance costs are typically lower. However, visual based detection methods in existing systems are not robust due to varying light intensities, occlusions, and their deployment costs can still...
Inter-vehicular communication (IVC) can be explored to build a live map of vehicles for enhancing collaborative vehicular applications related to traffic statistics, safety by accident prediction and prevention, and energy efficient route planning. For enhancing the abovementioned applications, a live map of vehicles associated with their communication identities (e.g., IP/MAC addresses) of other...
Visual data are rich, which have opened vast analytics opportunities and been widely used in many applications. However, the demanding requirements of computational resources and bandwidth have prevented the data from being useful in an economically efficient manner. A visual fog paradigm is needed for efficient processing of continuous video streams by collaboratively using things in the Internet...
Photos crowdsourced from mobile devices can be used in many applications such as disaster recovery to obtain information about a target area. However, such applications often have resource constraints in terms of bandwidth, storage, and processing capability, which limit the number of photos that can be crowdsourced. Thus, it is a challenge to use the limited resources to crowdsource photos that best...
Video surveillance is an important security enforcement operation in many contexts, from large public areas to private smart homes and smart buildings. Today's video surveillance systems are much more than mere recording storages, as the advancement in classification and recognition allow for an immediate target recognition without the intervention of human operators. These smart video surveillance...
Wireless video surveillance is an important option suitable when it is difficult to have cable Internet and electricity infrastructure, which is the case, for example, for construction yards or vehicles. We present iCam, an open-source Internet-enabled video surveillance project, in which we use mainly discarded camera phones. The mobile application is written mainly in Python on most phone platforms,...
With systems performing Simultaneous Localization And Mapping (SLAM) from a single robot reaching considerable maturity, the possibility of employing a team of robots to collaboratively perform a task has been attracting increasing interest. Promising great impact in a plethora of tasks ranging from industrial inspection to digitization of archaeological structures, collaborative scene perception...
With the emergence of IoT (Internet of Things) smart cities have assumed a crucial role in providing intelligent services in real time to residents and visitors, by integrating services such as smart transportation, smart parking and smart people management. By introducing emergent properties as the system's new behaviors or new structures, the system gains another higher level of intelligence that...
the paper presents our web-based 3D medical data visualization framework with emphasis on user collaboration. The framework supports visualization of volumetric data and 3D meshes in web browsers. The paper focuses on integration of user-shareable 3D view-aligned hand drawn or written annotations into the visualization framework. Annotations are created on separate transparent canvases which are aligned...
Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. High-quality rendering of the scene is enabled by transmitting multiple high-quality camera views, which can be used to synthesize additional virtual views to offer a smooth navigation in the scene. When network resources are limited, the set of camera views needs to be properly selected...
Machinima is which use real-time graphics rendering platform game engine to create animated videos or films. Traditional methods of machinima filming are stand-alone methods that using artificial intelligence scripting to implement the plot. However, massive script writing work of artificial intelligence will cost a IoT of manpower and resources. This paper proposes a method based on network game...
Machinima is which use real-time graphics rendering platform game engine to create animated videos or films. Traditional methods of machinima filming are stand-alone methods that using artificial intelligence scripting to implement the plot. However, massive script writing work of artificial intelligence will cost a IoT of manpower and resources. This paper proposes a method based on network game...
In this venture as we probably am aware vehicle movement clog and observing has turned out to be one of the basic issues in street transport. This paper depicts a technique to take care of the issue of intangibility of activity flag created by colossal vehicles. in this paper we propose another setting-aware way to deal with locate the present status and thickness of movement and dyanamic administration...
This paper presents a framework of on-demand color calibration system to track pedestrians across nonoverlapping fields of fixed camera view. The proposed system is designed based on the machine-to-machine (M2M) approach, and exchanges color information of multiple fixed cameras autonomously. The fixed cameras are assumed to be pointing in different directions and have nonoverlapping fields of view...
We present a prototype for remote surveillance aiming at reducing the bandwidth requirements without compromising the reliability. The system consists of a network of off-the-shelf proximity sensors and a point-tilt-zoom (PTZ) camera. The camera captures video when an interrupt is received by one of the sensors. A remote server controls the operation of sensors and the camera, and is capable of receiving...
Parking could become a nightmare on a busy day, in a city like Delhi (India), which has about 7.35 million cars, as per MORTH Barclays Research (2012). An average of seventeen minutes and considerable amount of fuel is wasted in an effort to find a parking spot every time. Additional stress is induced due to parking hassles starting from finding an empty parking spot to relocating the car later. We...
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