- Sponsor:
- sigmm
It is our great pleasure to welcome you to the 1st ACM Workshop on Multimedia in Forensics -- MiFor'09.
With the proliferation of multimedia data on the web, surveillance cameras in cities, and mobile phones in everyday life we see an enormous growth in multimedia data that needs to be analyzed by forensic investigators. The sheer volume of such datasets makes manual inspection of all data impossible. Tools are needed to support the investigator in their quest for relevant clues and evidence and in their strive towards preventing crime.
The multimedia community has developed new solutions for management of large collections of video footage, images, audio and other multimedia content, knowledge extraction and categorization, pattern recognition, indexing and retrieval, searching, browsing and visualization, and modeling and simulation in various domains. Due to the inherent uncertainty and complexity of forensic data, applying those techniques to forensic data is not straightforward. The time is ripe to tailor these results for forensics. Multimedia in forensics is the workshop which target is to join the research topics and the applications.
The workshop aims at addressing the multimedia toolbox supporting the forensic process from the prevention of crime, capturing and annotation of the crime scene, the investigation of the data in the lab, up to the presentation of the results in court. It is a first attempt in bringing multimedia tools in to this exciting application field. The target audience consists of researchers working on innovative technology, representatives from companies developing tools, and forensic investigators in various disciplines.
Despite the ambitious objective for the workshop and it being the first edition, it attracted a good number of quality submissions fairly distributed among different countries and among the different topics of the workshop. The MiFor09 Technical Program Committee includes the most experienced researchers in the related research fields, and thanks to their indispensable effort we were able to select 11 papers for oral presentation.
The workshop schedules four oral sessions, named "Detection and Mining", "Multimedia forensics prototypes", "Forgery and Splicing Detection" and "Tracking". In addition, the program includes a keynote address by Professor Mohan Kankanhalli, a distinguished lecturer in the field.
Proceeding Downloads
Graffiti-ID: matching and retrieval of graffiti images
Graffiti are abundant in most urban neighborhoods and are considered a nuisance and an eyesore. Yet, law enforcement agencies have found them to be useful for understanding gang activities, and uncovering the extent of a gang's territory in large ...
Temporal normalization of videos using visual speech
Pose and illumination variation has been considered the major cause of poor recognition results in automatic face recognition as compared to other biometrics. With the advent of video based face recognition a decade ago we were presented with some new ...
Video surveillance and multimedia forensics: an application to trajectory analysis
This paper reports an example of application (i.e., trajectory analysis) in which forensics and video surveillance techniques are jointly employed for providing a new tool of multimedia forensics. Advanced video surveillance techniques are used to ...
Videntifier™ forensic: a new law enforcement service for automatic identification of illegal video material
- Herwig Lejsek,
- Ársæll Þ Jóhannsson,
- Friðrik H. Ásmundsson,
- Björn Þ Jónsson,
- Kristleifur Daðason,
- Laurent Amsaleg
Tracking down producers and distributors of offensive video material, in particular child pornography, has become an ever growing focus of the world's law enforcement agencies. We describe Videntifier Forensic, a new service which radically improves the ...
Image spam clustering: an unsupervised approach
We propose an unsupervised image clustering framework for revealing the common origins, i.e. the spam gangs, of unsolicited emails. In particular, we target email spam with image attachments because spam information is harder to extract due to ...
Design and deployment of a digital forensics service platform for online videos
Increasing amount of illegal videos transmitted via Internet has aroused the need to develop digital video forensic systems for deterring and prosecuting digital crimes. Thus in this paper, we propose a digital forensics service platform for online ...
Digital forgery estimation into DCT domain: a critical analysis
One of the key characteristics of digital images with a discrete representation is its pliability to manipulation. Recent trends in the field of unsupervised detection of digital forgery includes several advanced strategies devoted to reveal anomalies ...
A new approach for JPEG resize and image splicing detection
Today's ubiquitous digital media are easily tampered by, e.g., removing or adding objects from or into images without leaving any obvious clues. JPEG is a most widely used standard in digital images and it can be easily doctored. It is therefore ...
Exposing digital video forgery by ghost shadow artifact
In the digital multimedia era, it is increasingly important to ensure the integrity and authenticity of the vast volumes of video data. A novel approach is proposed for detecting video forgery based on ghost shadow artifact in this paper. Ghost shadow ...
Single view geometry and active camera networks made easy
Active camera networks have an important role in surveillance systems for forensic analysis. They have the ability to direct the attention to interesting events that occur in the scene. In order to achieve such behavior the cameras in the network use a ...
Multi-target tracking in time-lapse video forensics
To help an officer to efficiently review many hours of surveillance recordings, we develop a system of automated video analysis. We introduce a multi-target tracking algorithm that operates on recorded video. Apart from being robust to visual challenges ...
Index Terms
Proceedings of the First ACM workshop on Multimedia in forensics




