Artistic Multi-character Script Identification Using Iterative Isotropic Dilation Algorithm

Ghosh, Mridul; Obaidullah, Sk Md; Santosh, K. C.; Das, Nibaran

doi:10.1007/978-981-13-9187-3_5

Cited by 10 publications

(5 citation statements)

References 31 publications

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“…We extend the scope of the nervous system theory of the aesthetic subject to the whole body, because the whole body exists and is generated as an aesthetic cognitive module [10]. That is to say, we do not "own" a body, but our body constructs an aesthetic cognition module with the systematic thinking of "existence," in order to achieve the aesthetic cognition of the body presented in the film and video.…”

Section: Introductionmentioning

confidence: 99%

The Subject Construction and Role Mental Model Construction of Erotic Movies Based on Lacan’s Desire Theory

Feng

2022

Occupational Therapy International

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Jacques Lacan is a famous French psychoanalyst, but his influence has long gone beyond the scope of psychoanalysis and has affected almost all fields of “human science.” Film and psychoanalysis coincided almost simultaneously and influenced each other. But with the development of film, researchers found that film studies in the period of classic film and film semiotics have come to an end. It has certain theoretical value to explore the construction of the subject and the mental model of the erotic film based on Lacan’s desire theory. Method. The body in the film and video described in this paper includes both the material body as an aesthetic object and the spiritual body with aesthetic consciousness. The so-called artistic presentation of the body element means that the beauty of the body form displayed by the actor’s body in the film video is perceived by the audience, and the desire to stare is captured by the audience, thereby completing the audience’s entire body composed of eyes, body, and mind. The body is not only an aesthetic object but also an aesthetic subject, and the human cognitive system is not just a closed brain. Because the nervous system, body, and environment are constantly changing and interacting, true cognition is a unified system of all three. The main part of this paper uses Lacan’s psychoanalytic theory to deeply analyze the relationship between the characters shown in the film. From the cognitive impairment of the self to the failure of communication between characters, the language of uncertainty entangled by desire is removed, and the behavior and facial expressions of the movie characters are used as the analysis basis to fully interpret the inner world of the characters. This includes love, hatred, pain, struggle, and many other contradictory emotions. In addition, this paper also analyzes the metaphor of the relationship between the characters from the perspective of semiotics and discusses the description of the relationship between the characters from the lens language from the perspective of cinematography. The special meaning conveyed by the recurring elements in the film is emphasized, and the correlation between the pictures is explained from the less mentioned photographic aspect of the film. Results/Discussion. Looking at Lacan’s theory, the subject, the other, and desire are linked by the subject spirit, which is the core of the connection between the three, and only through the resistance and struggle of the subject spirit can the illusion of the subject be broken. Bewilderment and the suppression of the other and desire finally become the self. And the embodiment of this true self is particularly prominent in film art. Lacan’s purpose is not merely to dissolve the subject but to seek a stand in the midst of destruction, pursuing the ultimate transcendence of man’s desire for the external other and internal desire.

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Section: Introductionmentioning

confidence: 99%

The Subject Construction and Role Mental Model Construction of Erotic Movies Based on Lacan’s Desire Theory

Feng

2022

Occupational Therapy International

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“…Saraswat et al describe other techniques, such as using "k" to mean algorithm (14). Jeevirha and Priya discuss ultrasound images (15); automated segmentation techniques for disease detection are discussed in another work (16). Modern techniques such as data mining, deep learning, and using them in medicine are visible in many studies (16,17,18).…”

Section: Theoretical Methodology and Literature Reviewmentioning

confidence: 99%

“…Jeevirha and Priya discuss ultrasound images (15); automated segmentation techniques for disease detection are discussed in another work (16). Modern techniques such as data mining, deep learning, and using them in medicine are visible in many studies (16,17,18). Deep learning techniques (19-22) are replacing the handcrafted-based approaches (23,24) since it has been observed that the performance gain is much greater with deep-learning techniques (25).…”

Section: Theoretical Methodology and Literature Reviewmentioning

confidence: 99%

“…Modern techniques such as data mining, deep learning, and using them in medicine are visible in many studies (16,17,18). Deep learning techniques (19-22) are replacing the handcrafted-based approaches (23,24) since it has been observed that the performance gain is much greater with deep-learning techniques (25). Varhan et al discovered gradient techniques and a fuzzy approach to image analysis (26), while Haiffi cker and Tizoosh discovered the fuzzy method (26).…”

Section: Theoretical Methodology and Literature Reviewmentioning

confidence: 99%

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Traditional and deep learning-oriented medical and biological image analysis

ZDIMALOVA,

GHOSH,

LASKER

et al. 2023

BLL

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We investigated various methods for image segmentation and image processing for the segmentation of MRI of human medical data, as well as bioinformatics for the segmentation of brain cell details, in this work. The goal is to demonstrate and bring various mathematical analyses for medical and biological image analysis. We proposed new software and methods for improving the segmentation of biological and medical data. This way, we can fi nd new ways to improve the diagnostic process in medical data and improve results in cell and iron diagnostics. We present the GrabCut algorithm as well as new, improved software for this part, a fuzzy approach and fuzzy processing of tissues, and fi nally machine-learning techniques with neural networks. We implemented the new software in the C++ programming language for the Grab cut algorithm. Consequently, we present a fuzzy approach to the diagnosis of image data in Matlab. Finally, a deep learning-based approach is used, with a U-Net-based segmentation architecture proposed to measure the various brain cell parameters. We will be able to proceed with data that we were unable to proceed when using other methods. As a result, we improved biological and medical data segmentation to obtain better boundaries and sharper edges on the objects. There is still space to extend these methods to other medical and biological applications (Tab. 1, Fig. 34, Ref. 46).

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“…The handcraftedbased features require machine learning classifiers to predict output classes while deep learning-based techniques do not require other classifiers for class separation. Ghosh et al [19] proposed an iterative dilation model to join the broken character's components and extracted features considering the shape and texture-based methods to identify the multicharacter scripts. In [20] they used an extreme learningbased classifier to identify the same and obtained 97.95% accuracy.…”

Section: Literature Studymentioning

confidence: 99%

Movie Title Extraction and Script Separation Using Shallow Convolution Neural Network

et al. 2021

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Graphical texts in natural images play an important role in portraying information in multitudinous fields such as communication, education, and entertainment to name a few. Recognizing text in scene images is challenging due to the inherent complexity of the images. Text recognition in natural images involves script identification, which requires text localization. This is not trivial for natural scene images due to the presence of disparate foreground/background components. For scene images like movie posters, the challenge is more dominant. The challenges aggravate due to the presence of composite characteristics of posters like complex graphics background and the presence of different texts like a movie title, names of actors, producers, directors, and tagline. These texts have miscellaneous fonts, variations in colors, size, orientation, and textures. In this work, an M-EAST (modified EAST) model is proposed, which is based on the EAST (efficient and accurate scene text detector) model for text localization. A novel movie title extraction is thereafter used for separating the title from the extracted text pool. Finally, the title script was identified using a shallow convolutional neural network (SCNN)-based to ensure functionality in low-resource environments. Experiments were performed on a dataset of movieposter images of Tollywood, Bollywood, and Hollywood industries, and a highest accuracy of 99.82% was obtained. The system performed better than the reported techniques.

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Artistic Multi-character Script Identification Using Iterative Isotropic Dilation Algorithm

Cited by 10 publications

References 31 publications

The Subject Construction and Role Mental Model Construction of Erotic Movies Based on Lacan’s Desire Theory

The Subject Construction and Role Mental Model Construction of Erotic Movies Based on Lacan’s Desire Theory

Traditional and deep learning-oriented medical and biological image analysis

Movie Title Extraction and Script Separation Using Shallow Convolution Neural Network

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