Abstract: Video surveillance systems (VSS), are used to gather the information about a crime, to check, prevent the crimes or investigate the crime that have already taken place. Surveillance is defined as performing observations of a group or an individual The most common techniques for surveillance is to store the concerned information. The stored visual footage is then recovered to its normal state by the authorized users. This paper proposes a mechanism of masking where infiltration of privacy on videos is minimized. This paper aims for the security or ensuring the privacy of a particular moving person or an object and provides the access to a limited extent only.
Visual encoding techniques are often used to encode rich data sets which consist of recorded data. Appropriate hardware and tools are available for data processing. However, Fig.3 shows that a radar system is a real time application with a restricted user interface and it is obvious that a graphical representation has to be very basic. Glyphs are represented by a limited number of pixels due to the low resolution and smoothly shaded objects cannot be rendered due to low-level graphics hardware. Extending the existing AIS encoding must not distract the user from his/her tasks. The visual encoding of AIS data must cause minimal occlusion of radar information while providing an additional benefit for the mariner. Large and complex glyphs are not an option and official guidelines such as [IHO10] must necessarily be considered. These guidelines “[…] ensure a base […] and appropriate compatibility with paper chart symbols as standardized in the Chart Specifications of the IHO” [IHO10]. Furthermore it is necessary to ensure that “[…] the display is clear and unambiguous” and “[…] that there is no uncertainty over the meaning of colors and symbols on the display […]”. [IHO10] also includes technical limitations. Furthermore extensive studies have been performed to identify the most suitable glyphs shown in Fig. 1 and Fig. 2 to represent AIS data attributes. For that reason the concept of familiarity as described in [McD99] should be considered and therefore AIS extensions should be based on the existing encoding which has been proven and tested for years to achieve high acceptance by users. In addition to this, while developing AIS glyphs one has to consider that AIS data is sometimes partially missing or simply wrong [Har07][Las14].
reading framework to help blind persons ad text labels and product packaging from hand-held objects in their daily lives. To isolate the object from cluttered backgrounds or other surrounding objects in the camera view, we rest propose an ancient and active motion-based method to dine a region of interest (ROI) in the video by asking the user to shake the object. This method extracts moving object region by a mixture-of- Gaussians based background subtraction method. In the extracted ROI, text localization and recognition are conducted to acquire text information. To automatically localize the text regions from the object ROI, we propose a novel text localization algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Ad boost model. Text characters in the localized text regions are then binaries and recognized by o -the-shelf optical character recognition (OCR) software. The recognized text codes are output to blind users in speech. Performance of the proposed text localization algorithm is quantitatively evaluated on ICDAR-2003 and ICDAR-2011 Robust Reading Datasets. Experimental results demonstrate that our algorithm achieves the state-of-the-arts. The proof-of-concept prototype is also evaluated on a dataset collected using 10 blind persons, to evaluate ether activeness of the systems hardware. We explore user interface issues, and assess robustness of the algorithm in extracting
In this paper we propose an integrated ap- proach to sentiment analysis of image tags – coming from user-defined folksonomies and au- to-tagging systems. The paper is organized as follows: Section 2 summarizes some related work; Section 3 overviews the sentiment analysis achievements and linguistic resources that pro- vide information about emotional words. In Sec- tion 4 we present the Imagga Auto-Tagging Pro- gram (ATP) – the source of our test corpus of automatically annotated images. Section 5 de- scribes the suggested approach in more detail; Section 6 presents current results. Section 7 con- tains the conclusion and plans for future work.
difficult task compared to the easier task (i.e., differentially varying test length across the two tasks). This, however, translates to greater practice effects (or fatigue effects in blocked trials) in some conditions compared to others in an information processing task which, again, returns an unacceptable confounding of the variables under investigation. Furthermore, as Knight (1987) pointed out the Chapmans' assumption that the increasing reliability of a task (by increasing its length) actually leads to a greater discriminatory power is quest ionnab 1 e . Nicewander and Price (1983) for example, indicated that the relationship between power and reliability, as Chapman and Chapman (1973,1978) assume, holds only when exactly parallel forms (replications) are added but when slight variations exist in the 'parallel' forms, which is sometimes true in practice (see, Raulin & Chapman, 1976), then test length does not guarantee an increase in discriminating power. Coneequen11 y , Nicewander and Price suggested that reliability coefficients are of little value in assessing the adequacy of the dependent variable in an experiment and further suggested that dependent variable selection should be dominated by theoretical and practical considerations.
However, no such convenient representation may be written down when R, Ui and Ni are allowed to be nonlinear. So we turn to the structure described in Figure 5.1. The theorems of this section argue that this representation depicts the set of all plants stabilised by a given controller and hence shows how the closed-loop identification problem can be converted to an open-loop problem in the presence of noise. Section 5.2 is broken into two parts. The first part treats the noiseless situation, i.e. v = 0. The second part treats the case when the noise is no longer zero, and it describes how the disturbance can be incorporated into the identification algorithm.
This paper deals with the use of invariant visual features for visual ser- voing. New features are proposed to control the 6 degrees of freedom of a robotic system with better linearizing properties and robustness to noise than the state of the art in image-based visual servoing. We show in this paper that by using these features the behavior of image-based visual servoing in task space can be significantly improved. Several experimental results are provided and validate our proposal.
The ultimate objective of road safety engineering and education is to provide for the safe movement of people throughout the highway network. Those locations and population groups that have higher levels of accidents than the norm need to be identified. The basic source of data for this purpose comes from the police, who complete an accident report form (STATS 19) for all road traffic accidents involving personal injury that they attend or are notified of. This information is subjected to a series of manual and computer checks to identify any inaccuracies and would then be used for various safety studies.
Abstract—The placement of outdoor advertising is a crucial task where people identify those are as intrusive elements of the built environment. Thus, there is a need of finding, why outdoor advertisements are considered as intrusive elements. In this background, this research aims to examine an association between the level of intrusiveness (a negative visual quality) and the level of visualinformation. The methodology of this research includes Shannon’s Information Theory based entropy values to measure the level of visualinformation and the level of intrusiveness is evaluated by conducting a perception survey. The result of the level of visualinformation is correlated with the road users’ perception to see the association. The findings of the research are, the t-test result shows the outdoor advertising add visualinformation to the built environment and the correlation analysis depicts a positive correlation between the level of visualinformation and intrusiveness. Moreover, this research introduces a widely applicable methodology that proves the possibility of employing entropy to measure the visualinformation and permits advertisers and planners to objectively decide the placement or elimination of outdoor advertising.
Information System Experts: Information system professionals such as business analysts help to improve business performance and productivity by examining processes e.g. the billing system used by the mobile operator to charge for text messages. In addition, service desk people provide technical assistance, support, and advice to customers and users. These experts interpret and resolve problems reported by the mobile phone user. IS experts also help people and organisations work out the best ways to organise and store data securely. In addition, they ensure that the products delivered by hardware and software experts meet users’ needs.
All the aforementioned studies focus on the use of and the relationship between visual and verbal rhetoric to create persuasion without working out an established framework of analysis. Besides, they address persuasion through visual rhetoric without attending to the long term relationship of consumerism that modern advertisement theory attempts to establish. Thus, my objective in this paper is to develop and expand a more interpretive analytical framework that explicitly accounts for the value and use of visual rhetoric in modern advertisements. In order to do develop the aforementioned framework, I will adopt Burke’s (1969) notion of identification which has been originally used in analyzing verbal rhetoric. In verbal rhetoric/advertisement formula, identification refers to the association between the advertised product/service and the advertisement target audience through naming, framing, symbol use, perfection and negativity principles, and social hierarchy (Christopher, 2013). Besides, identification has another dimension related to the very basics of modern advertisement theory which are: attracting attention, arousing pleasure, and creating recallable links between the visual elements together in an advertisement on the one hand, and between that advertisement and the audience on the other hand. Henceforth, I will show how modern advertisement theory not only uses identification to create persuasion but also to create a long term consumerism relationship between the advertised product/service and the target audience. This relationship is perpetuated in the psychological/social bondage between the advertisement and the audience that exceeds persuasion.
Each panel of Figure 1 shows how differences in each parameter yield different patterns in the time course of performance (Reed, 1976). In Figure 1A the groups differ in their asymptotic level of performance, with Group 1 outperforming Group 2 as display duration increases. In Figure 1B the groups differ in take-off time, which is the time for processing to rise above chance levels. This may be caused by differences in the time taken to onset processing rather than reﬂecting slower processing. Finally, Figure 1C shows a difference in processing rates, with Group 1 showing faster processing such that performance rises faster from chance levels as display duration increases. The advantage of the TAF methodology is that it enables a purer estimate of processing speed than standard accuracy or RT designs, because the estimate is not contaminated by performance levels or the time taken to start processing. Indeed, this approach has been used to model the time course of performance and gain estimates of visualinformation processing rates in a variety of tasks such as perceptual categorization, visual search, recognition, and word identiﬁcation (Brockdorff & Lamberts, 2000; Carrasco & McElree, 2001; Guest & Lamberts, 2010, 2011; Kent, Howard, & Gilchrist, 2012; see Kent, Guest, Adelman, and Lamberts, 2014, for a review).
Intense research work has taken place in order to evaluate and improve password schemes. Nevertheless, weak passwords are very often chosen by users, which are subsequently taken into advantage by malicious attackers to gain unauthorized access to informationsystems. Graphical passwords provide a promising alternative to the traditional text-based password authentication. The key concept is the human ability to recognize or recall images more easily than textual information . Text-based passwords remain the dominant authentication scheme due to their ease of use, inexpensive deployment, user familiarity and acceptance
The understanding of an audio-visual work, the extraction of its informational content, requires the definition of the space the agent has to model in his representation. We believe that this space transcends the standard definition of the concept of rectangular frame that applies to the window an agent can observe when he looks at the representation of the audio-visual product through a playback system. The cognitive experience, and, therefore, the element to be considered, should not be restricted to the 720x576 pixels of the player or the movie screen. One must consider, at least, the three-dimensional space associated with the situation depicted in the work at a given time (with one frame), and must include all items that the agent is able to identify in this three- dimensional cube, including, of course, the experience of sound [Caballero, 2009]. Diverse sys- tems of image recognition orientated to the extraction of information from the three-dimensional reconstruction of the space gathered in the image have been developed along the same lines (Sminchisescu, 2006).
For most visual semantic information graphical models, it is generally computationally intractable to infer the target posteriors. To resolve this NP-hard problem, mean field approximation is often applied in the current visual se- mantic information pursuit methods, in which the associ- ated graphical model is fully decomposed into independent nodes. Unfortunately, such simple decomposition strategy only incorporates unary pseudo-marginals into the associ- ated variational free energy, which is clearly not enough for the complicated visual semantic information pursuit appli- cations. Moreover, dense (fully connected) inference models are slow to converge. Inspired by the generalized belief propagation algorithm , there are pursuit methods ,  starting to apply region-based decomposition strategy, in which the associated graphical model is factorized into various regions with the nodes within each region being not independent. The applied region-based decomposition strategy can not only improve the inference speed in some cases, but also incorporate higher-order pseudo-marginals into the associated variational free energy. However, there are still several open questions: 1) How many regions are enough for most visual semantic information pursuit applications? 2) How to efficiently compute the higher- order pseudo-marginals given the decomposed regions? 3) How to properly propagate contextual information between different regions?
Abstract— Text-based passwords, despite their well-known drawbacks, remain the dominant user authentication scheme implemented. Graphical password systems, based on visualinformation such as the recognition of photographs and / or pictures, have emerged as a promising alternative to the aggregate reliance on text passwords. Nevertheless, despite the advantages offered they have not been widely used in practice since many open issues need to be resolved. In this paper we propose a novel graphical password scheme, NAVI, where the credentials of the user are his username and a password formulated by drawing a route on a predefined map. We analyze the strength of the password generated by this scheme and present a prototype implementation in order to illustrate the feasibility of our proposal. Finally, we discuss NAVI’s security features and compare it with existing graphical password schemes as well as text-based passwords in terms of key security features, such aspassword keyspace, dictionary attacks and guessing attacks. The proposed scheme appears to have the same or better performance in the majority of the security features examined.