scholarly journals Rectification and Super-Resolution Enhancements for Forensic Text Recognition

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5850
Author(s):  
Pablo Blanco-Medina ◽  
Eduardo Fidalgo ◽  
Enrique Alegre ◽  
Rocío Alaiz-Rodríguez ◽  
Francisco Jáñez-Martino ◽  
...  
Keyword(s):  
Neural Networks ◽  
Sexual Abuse ◽  
Child Sexual Abuse ◽  
State Of The Art ◽  
Sexual Exploitation ◽  
Super Resolution ◽  
Text Recognition ◽  
Deep Convolutional Neural Networks ◽  
Final Score ◽  
Illegal Activities

Retrieving text embedded within images is a challenging task in real-world settings. Multiple problems such as low-resolution and the orientation of the text can hinder the extraction of information. These problems are common in environments such as Tor Darknet and Child Sexual Abuse images, where text extraction is crucial in the prevention of illegal activities. In this work, we evaluate eight text recognizers and, to increase the performance of text transcription, we combine these recognizers with rectification networks and super-resolution algorithms. We test our approach on four state-of-the-art and two custom datasets (TOICO-1K and Child Sexual Abuse (CSA)-text, based on text retrieved from Tor Darknet and Child Sexual Exploitation Material, respectively). We obtained a 0.3170 score of correctly recognized words in the TOICO-1K dataset when we combined Deep Convolutional Neural Networks (CNN) and rectification-based recognizers. For the CSA-text dataset, applying resolution enhancements achieved a final score of 0.6960. The highest performance increase was achieved on the ICDAR 2015 dataset, with an improvement of 4.83% when combining the MORAN recognizer and the Residual Dense resolution approach. We conclude that rectification outperforms super-resolution when applied separately, while their combination achieves the best average improvements in the chosen datasets.

Preventing child sexual abuse and the use of child abuse images: the Prevention Project Dunkelfeld as an international perspective

2019 ◽  
Vol 1 (1) ◽  
pp. 61-66 ◽  
Author(s):  
Klaus M. Beier
Keyword(s):  
Sexual Abuse ◽  
Child Sexual Abuse ◽  
Sex Offenders ◽  
Mental Health Professionals ◽  
Child Pornography ◽  
Sexual Exploitation ◽  
International Perspective ◽  
The Body ◽  
World Health ◽  
Sexual Offences

Paedophilia—a sexual preference for the body scheme of pre-pubescent children—is defined as a disorder within the International Classification of Diseases (ICD) of the World Health Organization as well as within the Diagnostic and Statistical Manual of Mental Disorders (DSM) of the American Psychiatric Association. Contrary to popular belief, not all sex offenders who target children are paedophiles, and not all paedophiles commit sexual offences. But quite obviously paedophilia is an emotionally charged and controversial topic, which might be an explanation for putting it out of focus within the healthcare system. Mental health professionals are mainly (and worldwide) not well trained in terms of assessment methods and intervention techniques available to develop and implement effective policies and practices. This presents an obstacle for prevention, in that proactive strategies to protect children from child sexual abuse and sexual exploitation by online offences, such as the consumption or distribution of child abusive images (so-called child pornography), which emphasises the internationally relevant dimension of the issue. The article will address key concerns and questions in dealing with this clinically relevant population, offer insights into a primary prevention approach developed in Germany, and discuss the situation on a European level.

Right to Protection against Sexual Abuse and Exploitation

2017 ◽  
Author(s):  
Asha Bajpai
Keyword(s):  
Sexual Abuse ◽  
Child Sexual Abuse ◽  
Sexual Exploitation ◽  
Commercial Sexual Exploitation ◽  
Child Victims ◽  
Sexual Offences ◽  
Minor Children ◽  
Marriage Laws ◽  
Education Act ◽  
International Instruments

Child sexual abuse and exploitation covers the sexual maltreatment of both children and young people. Part A deals with child sexual abuse (CSA) in India, its magnitude, and child sexual abuse in institutions. It deals with the national legal regime relating to CSA including the constitutional provisions, Juvenile Justice Act, 2015 and Protection of Children from Sexual Offences Act, 2012 (POCSO). Law reform relating to some provisions in POCSO, child marriage laws, Right to Education Act and, and child victims and witnesses is recommended. Part B deals with commercial sexual exploitation and trafficking of minor children in the context of organized exploitation for commercial gain. The Indian laws dealing with commercial sexual exploitation and pornography are included. Important judgements and international instruments dealing with child sexual abuse and exploitation and the important role played by NGOs and government in dealing with cases of CSA and exploitation are included.

scholarly journals AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays

2021 ◽  
Vol 7 ◽  
pp. e495
Author(s):  
Saleh Albahli ◽  
Hafiz Tayyab Rauf ◽  
Abdulelah Algosaibi ◽  
Valentina Emilia Balas
Keyword(s):  
Neural Networks ◽  
Data Augmentation ◽  
State Of The Art ◽  
Synthetic Data ◽  
X Rays ◽  
Deep Convolutional Neural Networks ◽  
Current State ◽  
Pathology Classification ◽  
Wide Range ◽  
Multi Class Classification

Artificial intelligence (AI) has played a significant role in image analysis and feature extraction, applied to detect and diagnose a wide range of chest-related diseases. Although several researchers have used current state-of-the-art approaches and have produced impressive chest-related clinical outcomes, specific techniques may not contribute many advantages if one type of disease is detected without the rest being identified. Those who tried to identify multiple chest-related diseases were ineffective due to insufficient data and the available data not being balanced. This research provides a significant contribution to the healthcare industry and the research community by proposing a synthetic data augmentation in three deep Convolutional Neural Networks (CNNs) architectures for the detection of 14 chest-related diseases. The employed models are DenseNet121, InceptionResNetV2, and ResNet152V2; after training and validation, an average ROC-AUC score of 0.80 was obtained competitive as compared to the previous models that were trained for multi-class classification to detect anomalies in x-ray images. This research illustrates how the proposed model practices state-of-the-art deep neural networks to classify 14 chest-related diseases with better accuracy.

scholarly journals STRATEGI DALAM MELAKUKAN TERMINASI PADA KEKERASAN SEKSUAL ANAK DI LRSAMPK DARUSSA’ADAH

2020 ◽  
Vol 8 (1) ◽  
pp. 53-59
Author(s):  
Rika Dewi Auliani Usman ◽  
Nurul Husna
Keyword(s):  
Sexual Abuse ◽  
Child Sexual Abuse ◽  
Data Collection ◽  
Sexual Harassment ◽  
Social Workers ◽  
Urban Areas ◽  
Sexual Exploitation ◽  
Field Research ◽  
Qualitative Approach ◽  
Sexual Crimes

Abstract. Sexual crimes occur not only in urban areas but also in villages. This crime has a big impact especially the majority of victims are children. LRSAMPK Darussa’adah is an institution whose role is to provide services for victims. The purpose of this study was to determine the types of cases of child sexual violence, the strategies carried out by the assistants in terminating and barriers, challenges and support in terminating. This is a field research with a qualitative approach. Data collection techniques are observation, interviews and documentation, then the research results are analyzed descriptively. The results showed that the types of child sexual abuse cases handled by LRSAMPK Darussa’adah were rape, sexual harassment, sexual exploitation, neglect of the baby, sexual abuse and abduction for sexual purposes. The accompanying strategy in terminating child sexual abuse cases is to convince the victims’ families and communities by involving referrals, “geuchik”, social workers and related agencies. The challenges of Darussa’adah social workers are when client stakeholders are difficult to ask for information about victims and there are some people who refuse and some accept victims. The support received by Darussa’adah social workers is when the referrals are willing to work together to find ways to facilitate the termination of victims, and also families and there are still people who are willing to accept among the majority of people who refuse victims returning,  Abstrak. Kejahatan seksual marak terjadi tidak hanya di perkotaan tetapi meluas ke perkampungan. Kejahatan ini berdampak besar khususnya sebagian besar korbannya adalah anak-anak. LRSAMPK Darussa’adah merupakan lembaga yang berperan memberi pelayanan bagi korban. Tujuan penelitian ini adalah mengetahui jenis kasus kekerasan seksual anak, strategi yang dilakukan oleh pendamping dalam melakukan terminasi dan hambatan, tantangan maupun dukungan dalam melakukan terminasi. Ini adalah penelitian lapangan (field research) dengan pendekatan kualitatif. Teknik pengumpulan data adalah observasi, wawancara dan dokumentasi, selanjutnya hasil penelitian dianalisis secara deskriptif. Hasil penelitian menunjukkan bahwa jenis kasus kekerasan seksual anak yang ditangani LRSAMPK Darussa’adah adalah perkosaan, pelecehan seksual, eksploitasi seksual, penelantaran bayi, pencabulan perdagangan dan penculikan untuk tujuan seksual.  Strategi pendamping dalam melakukan terminasi pada kasus kekerasan seksual anak adalah dengan meyakinkan keluarga korban maupun masyarakat dengan melibatkan perujuk, geuchik, pekerja sosial dan dinas terkait. Hambatan dan tantangan pekerja sosial Darussa’adah adalah ketika stakeholder klien sulit dimintai keterangan mengenai korban dan ada sebagian masyarakat yang menolak dan sebagian menerima korban. Adapun dukungan yang diterima pekerja sosial Darussa’adah adalah ketika perujuk bersedia kerjasama mencari cara agar mempermudah terminasi korban, dan juga keluarga serta masih ada masyarakat yang mau menerima di tengah-tengah sebagian besar masyarakat yang menolak korban kembali.  

Child sexual abuse: A critical analysis of social workers' role in recognising and responding to it

2020 ◽  
Vol 1 (1) ◽  
pp. 26-33
Author(s):  
Gary Wade
Keyword(s):  
Sexual Abuse ◽  
Child Sexual Abuse ◽  
Social Workers ◽  
Child Protection ◽  
Sexual Exploitation ◽  
Critical Evaluation ◽  
It Services ◽  
Policy And Practice ◽  
Critical Attention

The role of social workers in safeguarding and child protection has received much critical attention in recent years, in an evolving political and social arena, where policy and practice has shifted following both public outcry of serious case reviews and subsequent policy and practice changes concerning the profession and how it services the needs of the most vulnerable in society. This article seeks to critically examine the current methodology for identifying suspected child sexual abuse signs and indicators, the evolving spectrum of abuse, including critical evaluation of current perspectives on child sexual exploitation.

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