An intelligent system of content-based image retrieval for crime investigation

Shriram, K. V.; Priyadarsini, P. L. K.; Baskar, A.

doi:10.1504/ijaip.2015.073707

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…The software with convenient technologically can also help the investigators to make right move on the investigation. The similar image retrieval of crime scene can help to reduce the time of the investigators [24].…”

Section: Retrieval Of Crime Scene Imagementioning

confidence: 99%

A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

Garg¹

2018

ijacsa

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Multiple amount of multi-dimensional images are designed and most of them are available on internet at free of cost. The 3D images include three characteristics namely width, height, and depth. The images which are created as 3D can describe the geometry in terms of 3D coordinates. These coordinates help to obtain the object from the image much easier and accurate. In this paper, we presented a review about the Multi-dimensional image retrieval. Multi-dimensional image retrieval is a process of extracting the relevant 2D or 3D images from the huge database. To perform image retrieval process on large database, several methods like text based, Content based, Annotation based, semantic based, and sketch based were used. The image retrieval techniques are mostly used in the fields like Digital library, medical, forensic science, and so on. A systematic literature review has been shown for image retrieval methods reported on 2010 to 2017. The aim of this article is to show the various concept and efforts of different authors on image retrieval technique.

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Section: Retrieval Of Crime Scene Imagementioning

confidence: 99%

A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

Garg¹

2018

ijacsa

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“…In addition, they have suffered from limitations in their work, such as undetermined number of images that used for experiments or analysis, or they only use a small volume of pictures. In addition, no criteria were applied to evaluate the performance, or no comparison with other studies was performed [7][8][9][10]. Moreover, the special characteristics of forensic images are different from characteristics of standard images; therefore, the image features that are suitable to describe standard image databases are inefficient for forensics.…”

Section: Object Recognitionmentioning

confidence: 99%

The Design of a Multimedia-Forensic Analysis Tool (M-FAT)

Mashhadani¹,

Al-Kawaz²,

Clarke³

et al. 2018

IJMIP

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Digital forensics has become a fundamental requirement for law enforcement due to the growing volume of cyber and computer-assisted crime. Whilst existing commercial tools have traditionally focused upon string-based analyses (e.g., regular expressions, keywords), less effort has been placed towards the development of multimedia-based analyses. Within the research community, more focus has been attributed to the analysis of multimedia content; they tend to focus upon highly specialised specific scenarios such as tattoo identification, number plate recognition, suspect face recognition and manual annotation of images. Given the everincreasing volume of multimedia content, it is essential that a holistic Multimedia-Forensic Analysis Tool (M-FAT) is developed to extract, index, analyse the recovered images and provide an investigator with an environment with which to ask more abstract and cognitively challenging questions of the data. This paper proposes such a system, focusing upon a combination of object and facial recognition to provide a robust system. This system will enable investigators to perform a variety of forensic analyses that aid in reducing the time, effort and cognitive load being placed on the investigator to identify relevant evidence.

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“…In addition, they have suffered from limitations in their work, such as undetermined number of images that used for experiments or analysis, or they only use a small volume of pictures. In addition, no criteria was applied to evaluate the performance, or no comparison with other studies was performed [7][8][9][10]. Moreover, the special characteristics of forensic images are different from characteristics of standard images; therefore, the image features that are suitable to describe standard image databases are inefficient for forensics.…”

Section: ) Object Recognitionmentioning

confidence: 99%

A novel multimedia-forensic analysis tool (M-FAT)

Mashhadani

Al-Kawaz

Clarke

et al. 2017

2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)

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Digital forensics has become a fundamental requirement for law enforcement due to the growing volume of cyber and computer-assisted crime. Whilst existing commercial tools have traditionally focused upon string-based analyses (e.g. regular expressions, keywords), less effort has been placed towards the development of multimedia-based analyses. Within the research community, more focus has been attributed to the analysis of multimedia content; they tend to focus upon highly specialised specific scenarios such as tattoo identification, number plate recognition, suspect face recognition and manual annotation of images. Given the ever-increasing volume of multimedia content, it is essential that a holistic Multimedia-Forensic Analysis Tool (M-FAT) is developed to extract, index, analyse the recovered images and provide an investigator with an environment with which to ask more abstract and cognitively challenging questions of the data. This paper proposes such a system, focusing upon a combination of object and facial recognition to provide a robust system. This system will enable investigators to perform a variety of forensic analyses that aid in reducing the time, effort and cognitive load being placed on the investigator to identify relevant evidence.

show abstract

An intelligent system of content-based image retrieval for crime investigation

Cited by 10 publications

References 6 publications

A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

The Design of a Multimedia-Forensic Analysis Tool (M-FAT)

A novel multimedia-forensic analysis tool (M-FAT)

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