Image Of Someone Research Articles

Recent Advancements in the Field of Deepfake Detection

A deepfake is a photo or video of a person whose image has been digitally altered or partially replaced with an image of someone else. Deepfakes have the potential to cause a variety of problems and are often used maliciously. A common usage is altering videos of prominent political figures and celebrities. These deepfakes can portray them making offensive, problematic, and/or untrue statements. Current deepfakes can be very realistic, and when used in this way, can spread panic and even influence elections and political opinions. There are many deepfake detection strategies currently in use but finding the most comprehensive and universal method is critical. So, in this survey we will address the problems of malicious deepfake creation and the lack of universal deepfake detection methods. Our objective is to survey and analyze a variety of current methods and advances in the field of deepfake detection.

Assessing image-based sexual abuse: Measurement, prevalence, and temporal stability of sextortion and nonconsensual sexting ("revenge porn") among adolescents.

The aim of this study is to develop a new measure of victimization and perpetration of two frequent forms of image-based sexual abuse, namelysextortion (i.e., the threat of distributing sexual images to pressure the victim into doing something) and nonconsensual sexting (i.e., distributing sexual images of someone without the consent of the victim). Additional aims were to analyze the prevalence of these forms of victimization and perpetration and to examine their temporal stability over a 1-year period. The sample was made up of 1820 Spanish adolescents (mean age = 13.38, SD = 1.42; 929 girls, 878 boys, 3 nonbinary, and 10 did not indicate gender) who completed self-report instruments on image-based sexual abuse and related variables (e.g., cyberbullying victimization). Confirmatory factor analysis supported a structure composed of the four hypothesized factors: sextortion victimization and perpetration, and nonconsensual sexting victimization and perpetration. Higher sexting, cyberbullying victimization, and symptoms of depression and anxiety had stronger associations with image-based sexual victimization than with perpetration, which showed evidence of concurrent validity. Prevalence was 2.6% and 0.7% for sextortion victimization and perpetration, respectively, and 3.4% and 4.9% for nonconsensual sexting victimization and perpetration, respectively. Temporal stability over 1 year was .26 for sextortion victimization, .19 for nonconsensual sexting victimization, .33 for nonconsensual sexting perpetration (all ps < .001), and nonsignificant for sextortion perpetration. The stability of nonconsensual sexting victimization was significantly higher for girls compared to boys, whereas nonconsensual sexting perpetration was more stable over 1 year for boys. Future studies must advance the analysis of the predictors and consequences of image-based sexual abuse among adolescents to better prevent this problem. Prevalence of sextortion and nonconsensual sexting is not negligible, and these problems should be particularly addressed in prevention programs.

КОНЦЕПТ «СИБИРСКИЙ ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ» В АСПЕКТЕ ЛИНГВОИМИДЖЕЛОГИИ

The article discusses the concept of “Siberian Federal University” in the aspect of the theory of linguoimageology, the aim of which is to study and develop technologies for creating an image of someone, something through the use of language tools that effectively influence the creation of a positive image of an object. The purpose of the article is to create an image modeling of the Siberian Federal University based on the exclusive properties of this object. In the course of a linguo-cognitive analysis of empirical material (journalistic texts about SibFU), the components of the concept under study were identified; a frame-type model has been built, providing for the conceptual, pragmatic and evaluative characteristics of frame slots; the types of estimated values that prevail in the texts about the reserve are determined; the frequency of linguistic means – artistic tropes used in creating a positive image of the object under study – has been established. Analysis of the empirical material based on this model made it possible to identify gaps in the texts about the Siberian Federal University, which can be taken into account when creating new texts by the press service of the university and regional media. The developed methodology can be applied to the analysis of the image component of other iconic regional objects.

Deteksi Non-Spoofing Wajah pada Video secara Real Time Menggunakan Faster R-CNN

Face non-spoofing detection is an important job used to ensure authentication security by performing an analysis of the captured faces. Face spoofing is the process of fake faces by other people to gain illegal access to the biometric system which can be done by displaying videos or images of someone's face on the monitor screen or using printed images. There are various forms of attacks that can be carried out on the face authentication system in the form of face sketches, face photos, face videos and 3D face masks. Such attacks can occur because photos and videos of faces from users of the facial authentication system are very easy to obtain via the internet or cameras. To solve this problem, in this research proposes a non-spoofing face detection model on video using Faster R-CNN. The results obtained in this study are the Faster R-CNN model that can detect non-spoof and spoof face in real time using the Raspberry Pi as a camera with a frame rate of 1 fps.

Deep Learning-based Hate Speech Detection in Code-mixed Tamil Text

Social media is a great source of communication. People use various social media platforms, such as Twitter, Facebook, and Instagram, for sharing their ideas, opinions, and feelings. Users of different age groups, cultures, education backgrounds manipulate these powerful mediums of communication. Even though it gives all the benefits of knowledge sharing among the users, it has a dark side too. Despite setting restrictions from the corresponding sites, many users use abusive language to blemish the status and image of someone. So it is highly the need of the hour for the government or the particular social media platform to sift out those unwanted hate texts before diffusing them. Finding the hate text is one of the emerging research topics in Natural Language Processing where the model predicts the given text as hate text or not. This automated hate text detection becomes tedious when we consider the Indian languages due to a lack of data. Moreover, Indian people are multilingual and use code-mixed patterns to express their thoughts. The unavailability of the annotated Tamil-English dataset and the lack of a standard model make this task more challenging. In our paper, to handle such code-mixed data, a dataset is created with 10000 Tamil-English code-mixed texts collected from Twitter. These are annotated as hate text/non-hate text. In this paper, we use a synonym-based Bi-LSTM model for classifying hate non-hate text in tweets.

REPLY TO “PREDICTIVE PROCESSING AND THE SEMIOLOGICAL PRINCIPLE: COMMENTARY TO DUFFLEY”

My notion of stable word meaning could correspond either to the root-node or the whole of a neurally-organized package and acknowledge that linguistic processing is largely holistic. The existence of words as context-free entities is not just a “cognitive idealization” however but a necessity, as otherwise speakers would have to make up their words on the spot. Holistic language processing undermines a sequential processing paradigm (first linguistic, then pragmatic). However, my model is only sequential in that linguistic-semantic units pre-exist their use and does not entail that a whole sentence must be assembled before pragmatic processing starts. The authors falsely suggest that I do not endorse a distinction between semantics and pragmatics. While I do argue that this distinction cannot be based on the sentence/utterance distinction, I hold that a clear dividing-line can be drawn between semiologically-signified and non-semiologically-signified content. I disagree that “even highly abstract, monosemic words like any should be seen as embodied, ” so that the mental process of random selection must be construed “in (complex) sensorimotor terms”. While one can form an image of someone picking out an apple from a basket, one cannot argue that one must do so in order to use any.

Personality, Attitudinal, and Demographic Predictors of Non-consensual Dissemination of Intimate Images.

Non-consensual intimate image dissemination (NCII), or else better known as “revenge pornography” is a form of technology-facilitated sexual violence that can have devastating effects on the victim. This is one of the first studies examining how demographic characteristics (gender, sexual orientation), personality traits (Dark Tetrad), and attitudes (aggrieved entitlement, sexual entitlement, sexual image abuse myth acceptance) predict NCII perpetration and victimization. In a sample of 810 undergraduate students (72.7% female and 23.3% male), 13.7% of the participants had at some point in their life, distributed nude, or sexual pictures of someone else without consent and 28.5% had experienced such victimization. NCII perpetration was predictive of NCII victimization and vice versa. Using binomial logistic regression, we found that women, members of the LGBQ+ community, those scoring higher in sadism, and participants with a history of NCII perpetration were more likely to report that someone had distributed their nude or sexual image without consent. Further, we found that those scoring higher in narcissism and sadism, along with those with a history of NCII victimization were more likely to report they had distributed the nude or sexual image of someone else without consent. Finally, the findings suggest that the relationship between victims and perpetrators is quite a bit more varied than the term “revenge pornography” implies.

Memetic Spider Monkey Optimization for Spam Review Detection Problem.

Spider monkey optimization (SMO) algorithm imitates the spider monkey's fission-fusion social behavior. It is evident through literature that the SMO is a competitive swarm-based algorithm that is used to solve difficult real-life problems. The SMO's search process is a little bit biased by the random component that drives it with high explorative searching steps. A hybridized SMO with a memetic search to improve the local search ability of SMO is proposed here. The newly developed strategy is titled Memetic SMO (MeSMO). Further, the proposed MeSMO-based clustering approach is applied to solve a big data problem, namely, the spam review detection problem. A customer usually makes decisions to purchase something or make an image of someone based on online reviews. Therefore, there is a good chance that the individuals or companies may write spam reviews to upgrade or degrade the stature or value of a trader/product/company. Therefore, an efficient spam detection algorithm, MeSMO, is proposed and tested over four complex spam datasets. The reported results of MeSMO are compared with the outcomes obtained from the six state-of-art strategies. A comparative analysis of the results proved that MeSMO is a good technique to solve the spam review detection problem and improved precision by 3.68%.

The Violence of the Frame: Image, Animal, Interval in Lars von Trier's Nymphomaniac

The Violence of the Frame:Image, Animal, Interval in Lars Von Trier's Nymphomaniac Steven Swarbrick (bio) All authentic reading is in its own way violent, or it is nothing but the complaisance of a paraphrase. — Pierre Macherey (113) Imago, n. 1. a. Entomology. The final or adult stage in the development of an insect, during which it is sexually mature. 2. Psychoanalysis. A subjective image of someone (esp. a parent) which a person has subconsciously formed and which continues to influence his or her attitudes and behavior. —Oxford English Dictionary, 2nd ed. What is a nymph, and how do we recognize her/its appearance in Lars von Trier's Nymphomaniac (2013)?1 The film's title—spelled Nymph()maniac—points to a difference without recognition. I am referring to the parenthetical lips that hollow out the film's center. Those lips, when read through a Foucauldian lens of power-knowledge-pleasure, are certainly not the same lips that, in saying yes to sex, believe they are saying no to power. The lips of von Trier's title do not speak the truth of one's sexual identity, much less the protagonist Joe's (Charlotte Gainsbourg). Instead, suspicious of the repressive hypothesis and its attendant sex-positive formulations, the lips of Nymphomaniac are more akin to the lips theorized in Luce Irigaray's essay "When Our Lips Speak Together," which posits a sexual ethics based on difference and self-fracture rather than a unified politics of the One. At the center of my question, then, there is a (w)hole fractured by two parentheticals. And yet the interval that interrupts my question is the same interval that arouses so much speculation about [End Page 131] the future of the image, as theorized by Jacques Rancière, and the image of life at the heart of biopolitics. Rancière frames the question of the image and its future in terms of the "interstice" and its distribution. Following Gilles Deleuze, Rancière states, "Thenceforward, what creates the link is the absence of the link: the interstice between images commands a re-arrangement from the void and not a sensory-motor arrangement" (Film Fables 108). Rancière continues his post-Deleuzian investigation into "the interstice between images" in The Future of the Image, where he is primarily concerned with the category of the new, that is, with what the image can be after the breakdown of the sensory-motor link between images. Notably, this absence of the link is also what governs the image of life within biopolitics, as "life itself" tends more and more toward molecularization and the recombination of elements (Myers 2015).2 Rancière highlights the connection between "life itself" and the image-link problematic in his essay on Deleuze, in which he calls Deleuze's cinema books works of "natural history." My goal—somewhat at odds with Rancière's—is to embrace Deleuze's notion of the image-link problematic by tracing the propulsive force of nature's queer negativity, the interval or gap between images, in von Trier's cinema. What creates the link in Nymphomaniac is the absence of the link—nature's hollow center. Among the first to read nature's absent center was Spinoza. According to Warren Montag, Spinoza reads nature in the same way he reads Scripture, by paying painstaking attention to the materiality of the letter, its gaps and contradictions—in a word, its form. Spinoza shows that there is not a coherent, undivided meaning beyond or behind the letter of the text, but a swarming assemblage of material bodies whose swarming encircles a void—text without substance. Montag relates Spinoza's reading practice to a series of natural disasters: Spinoza's method has been compared to an archaeology but, if anything, it resembles the activity of modern paleontology which in place of the gradual, uniform and continuous evolution imagined by Darwin … has restored to the fossil record its gaps and discontinuities, and in the process demonstrated the existence of a natural history replete with catastrophes and reversals. (11) This chain of catastrophes tells us how Spinoza's philosophy of reading connects to his metaphysics: nature is not a self-present totality...

The Concept of Stolby Nature Reserve in the Aspect of Linguoimageology

The article examines the concept of Stolby Nature Reserve in the aspect of the theory of linguoimageology, the tasks of which include the study and the development of technologies for creating the image of someone / something through the use of linguistic means that effectively influence the creation of a positive image of an object. The main purpose of this research is to model the image of a national park based on the exclusive properties of this object. In the course of the linguo-cognitive analysis of empirical material (publicistic texts about the reserve), the authors identified the components of the concept under study; built a frame-type model, providing for the conceptual, pragmatic and evaluative characteristics of the frame slots; determined the types of estimates that prevail in the texts about the reserve; found out the frequency of linguistic means – artistic tropes used for creating a positive image of the object under study. The identified components of the concept of Stolby Nature Reserve were used as the basis for a frame model, the creation of which made it possible to highlight the gaps in the texts about the reserve. The developed methodology can be applied to the analysis of the image component of other iconic regional sites. The study offers recommendations to improve the image of the nature reserve, which can be taken into account when creating new texts by the management of the reserve and travel agencies

APA Condemns Use of Therapy Records in Immigration Cases

APA Condemns Use of Therapy Records in Immigration Cases

Detection of hijab syar’i as smart clothes system for moslem people using high performance of parallel computing

Moslems are required to remain consistent in wearing syar’i clothing. Sometimes, however, it is very difficult to distinguish between syar’i clothes and the non-syar’i ones, especially in the current millennial era and until the end of time there are many temptations that are not good. Digital image processing in the present day has become one of the areas that can be processed to help various problems associated with images. However, it requires very long processing time and ineffective processing. The CPU alone is not enough. Therefore, it takes processing time allocation that can cut the time to speed up the process. This study utilizes the way to speed up performance analysis of digital images through GPU. The performance analysis of GPU includes CUDA and Yolo because it allows specialists in parallel programming to use GPU resources and can perform the object detection process quickly and accurately by applying an artificial neural network to the image of someone who is wearing syar‘i hijab as smart clothes for Moslem women. Several hardware, software, and file dependency specifications are employed to support the implementation process. The test results achieve the accuracy of 100%, proving that by using the implementation of Yolo under GPU.

Face Detection and Recognition using Open CV Based on Fisher Faces Algorithm

Facial Recognition represents the event of a system which may determine the person with the assistance of a face using Computer Vision (Open CV). Face recognition is employed within the fields of Identity Recognition, police investigation and enforcement. It's a method of characteristic someone supported facial expression. This method is enforced in 2 stages. They're the training stage and therefore the testing stage. This study primarily consists of 3 elements, specifically face detection from the image, feature extraction and storing many reminder images, and recognition. Face finding rule is employed to detect the face from the given image. The foremost helpful and distinctive options of the face image are extracted within the feature extraction part. Face Detection may be challenging because of pictures and video frames will contain advanced background, completely different head poses and occlusion like carrying glasses or scarf. It presents a rule for finding face recognition downside and concatenated into one feature vector that is employed to coach the system to recognise among the prevailing photos with it. Within the testing stage the system takes the face of the image of someone for recognition. Image acquisition, pre-processing, image filtering, feature extraction is just like the learning stage. For classification the options are fed to the trained system. The algorithms can determine the face image from the content and acknowledges it.

Face Detection and Recognition using Open CV Based on Fisher Faces Algorithm

Facial Recognition represents the event of a system which may determine the person with the assistance of a face using Computer Vision (Open CV). Face recognition is employed within the fields of Identity Recognition, police investigation and enforcement. It's a method of characteristic someone supported facial expression. This method is enforced in 2 stages. They're the training stage and therefore the testing stage. This study primarily consists of 3 elements, specifically face detection from the image, feature extraction and storing many reminder images, and recognition. Face finding rule is employed to detect the face from the given image. The foremost helpful and distinctive options of the face image are extracted within the feature extraction part. Face Detection may be challenging because of pictures and video frames will contain advanced background, completely different head poses and occlusion like carrying glasses or scarf. It presents a rule for finding face recognition downside and concatenated into one feature vector that is employed to coach the system to recognise among the prevailing photos with it. Within the testing stage the system takes the face of the image of someone for recognition. Image acquisition, preprocessing, image filtering, feature extraction is just like the learning stage. For classification the options are fed to the trained system. The algorithms can determine the face image from the content and acknowledges it.

Forming the image of Other: Religion in the Geopolitical Maps Around Jungar and Kalmyk Khanates

The first third of XVIII century was very important for Kalmyks and Jungars. The political affairs, where Kalmyks, Russians, Jungars and Manchus as well as the external issues have been communicated, had been closely related with the religious matters, led to intensification of regional political processes. In Kalmyk khanate the Buddhist affairs were under the supervision of the famous Shakur Lama, and it was during his rule when the Islamic issue had had some importance, because it had been closely related with the plan to establish the Kalmyk-Crimean khanate (perhaps, initially the Ottomans’ idea). In Jungaria the situation was even more complex due to the policy of Qing, when the leaders of this khanate were accused in conversion to Islam. The rare word “Thomkar” from Russian archival materials illustrates very special skill of Qing officials - it was “created” for Jungars to define them as being “converted” to Islam. The meaning of all these events allow to suppose, that religion at the time under consideration became the state tool for implementation of the virtual geopolitical maps to change the “usual” image of someone into “necessary” “enemy face”.

EUFEMISME DAN DISFEMISME PADA MEDIA BERITA DARING REPUBLIKA: PERKEMBANGAN KASUS SETYA NOVANTO EDISI JANUARI 2018

AbstractThis research aims to identify, describe, and analyze the use of euphemism and dysphemism from the forming process, meaning, and function of Republika online media related to the Development of Setya Novanto Case in January 2018 edition. Method used is descriptive with qualitative approach. Data source is news issued by Republika online regarding Setya Novanto Case Development in January 2018 edition many as 15 news issues. Research data is the use of euphemism and dysphemism including word, phrase, clause, and sentence. Data collecting technique used is documentation and tool of data collecting is news capture. Data analysis method used are identity and distributional method. The meaning of euphemism and dysphemism including collocative meaning and connotative meaning either in form of word, phrase, or clause. Euphemism can function as a protective tool, smoothing utterance, provocation, encouragement, fraud cover, and diplomacy. Dysphemism can function as a negative image of someone or something, showing low value thing, exaggerate something, and showing disrespect. Key Words: Euphism, Dyshemism, Republika Online, Setya Novanto Case

Image of Russia and Russians in Polish Historical Films (On Materials of Expert Interviews)

The presented research is devoted to the mapping of Russia and Russians in the Polish historical cinema in the XX – early XXI centuries. The aim of the work is to assess the positioning of Russia and the Russians in Polish historical films. The study is intended to enrich the concept of the essence of the politics of memory of Poland and the content of the historical memory of its citizens. Article materials can be used for professional needs by diplomats, journalists, representatives of international public organizations, experts in the field of patriotic education and organization of work with young people. During the collection and processing of the identified array of information, methods such as traditional analysis and expert interviews were used. The conducted researches showed that when creating images of Russia and its inhabitants in the Polish historical cinema, the tendency of negative positioning, determined by the political conjuncture and cultural stereotypes, dominated. For the formation of appropriate images, manipulative practices based on appealing to the sphere of emotions and using symbols with archetypal implication were used. The films of the period before 1939 and the post-Soviet era are related not only to the content, but also the technological side: in both cases, the creators used strategies to create images of someone else’s and phantom enemies, demonization and dehumanization. These techniques were used to reflect not only the Soviet period of Russian history, but also the pre-revolutionary era. Accordingly, not only the Soviet regime, but Russia, acting as the historical, eternal enemy of Poland, was positioned in a negative way.

Listening beyond seeing: Event-related potentials to audiovisual processing in visual narrative

Every day we integrate meaningful information coming from different sensory modalities, and previous work has debated whether conceptual knowledge is represented in modality-specific neural stores specialized for specific types of information, and/or in an amodal, shared system. In the current study, we investigated semantic processing through a cross-modal paradigm which asked whether auditory semantic processing could be modulated by the constraints of context built up across a meaningful visual narrative sequence. We recorded event-related brain potentials (ERPs) to auditory words and sounds associated to events in visual narratives—i.e., seeing images of someone spitting while hearing either a word (Spitting!) or a sound (the sound of spitting)—which were either semantically congruent or incongruent with the climactic visual event. Our results showed that both incongruent sounds and words evoked an N400 effect, however, the distribution of the N400 effect to words (centro-parietal) differed from that of sounds (frontal). In addition, words had an earlier latency N400 than sounds. Despite these differences, a sustained late frontal negativity followed the N400s and did not differ between modalities. These results support the idea that semantic memory balances a distributed cortical network accessible from multiple modalities, yet also engages amodal processing insensitive to specific modalities.

Revenge pornography and manhood acts: a discourse analysis of perpetrators’ accounts

Revenge pornography (hereafter, revenge porn) is the online, sometimes offline, non-consensual distribution or sharing, of explicit images of someone else by ex-partners, partners, others or hackers seeking revenge or entertainment – also referred to as non-consensual pornography. The vast majority of revenge porn is committed by men on women ex-partners. In this paper, we discursively analyse men’s electronic texts accompanying their posting of explicit images on arguably the most popular revenge porn-specific website MyEx.com. Situating our analysis as a contemporary form of online gendered violence and abuse, we show the complex ways in which manhood acts are invoked by men to account for their practices. The impacts on victims/survivors and possible interventions are also discussed.

The Horror of Taking a Picture in Poe's “Tell-Tale Heart”

Abstract In “The Tell-Tale Heart,” Poe's narrator wields an instrument that enhances his vision, adjusts its aperture, calculates the length of exposure, and focuses a single ray of light—all to capture a specific image of someone else. By 1843, when this horror story appeared in The Pioneer, Poe had not only learned of Daguerre's new process for preserving images in a camera obscura but had also published four articles about that process and even sat for his own daguerreotype portrait. Poe's fascination with daguerreotypy influenced several of his tales in the early 1840s. This article reads “The Tell-Tale Heart” in the context of early photography, as documented by news reports, manuals, histories, and reminiscences. I argue that the process of taking daguerreotypes provided a model for both the narrator's actions and the story's construction. “The Tell-Tale Heart” evokes the procedure of setting up a camera, disclosing the lens, adjusting the focus, timing the exposure, and capturing an image. It also addresses the camera's effect on human subjects. Although Poe's contemporaries whimsically referred to torture or agony to convey the ordeal of sitting before a camera, he treated this experience as a source of genuine horror. By narrating “The Tell-Tale Heart” from the perspective of someone inflicting this torment on someone else, and by describing in detail the techniques involved—a clear allusion to the process of taking a daguerreotype—Poe created a new kind of horror tale, featuring a narrator who is obsessed with using visual technology to obtain a particular image.