A computer forensic software developed in collaboration with the Hong Kong Police. It is designed to assist law enforcement agencies to examine, acquire, analyze, search and document the digital evidence of a computer system.

A monitoring tool that searches, analyzes and reports any suspected infringement of IP rights activities over the Internet using BT technology.

A digital video surveillance system that supports translation of conceptual query to semantic description for video searching. Real-time indexing and content-based distributed video retrieval techniques are developed in this project.

The objective of this project is to develop new and enabling semantic video analysis techniques for video retrieval applications. We believe these new techniques can help to remedy the video retrieval problems found in video surveillance systems and the video search engine.

The objective of this proposal is to leverage the technologies advancements made in both compression and analytics such that a new paradigm of video analytics and retrieval can be realized. We believe this will helps to resolve the fundamental problem in video surveillance systems where compression and analytics are being done in separate and non-synchronized fashion, which hinders the scalability of video surveillance system in terms of analytics and retrieval capability.

The objective of this proposal is to leverage the technologies advancements made in both compression and analytics such that a new paradigm of video analytics and retrieval can be realized. We believe this will helps to resolve the fundamental problem in video surveillance systems where compression and analytics are being done in separate and non-synchronized fashion, which hinders the scalability of video surveillance system in terms of analytics and retrieval capability.

The objective of this proposal is to leverage the technologies advancements made in both compression and analytics such that a new paradigm of video analytics and retrieval can be realized. We believe this will helps to resolve the fundamental problem in video surveillance systems where compression and analytics are being done in separate and non-synchronized fashion, which hinders the scalability of video surveillance system in terms of analytics and retrieval capability.

The objective of this proposal is to leverage the technologies advancements made in both compression and analytics such that a new paradigm of video analytics and retrieval can be realized. We believe this will helps to resolve the fundamental problem in video surveillance systems where compression and analytics are being done in separate and non-synchronized fashion, which hinders the scalability of video surveillance system in terms of analytics and retrieval capability.

The objective of this proposal is to leverage the technologies advancements made in both compression and analytics such that a new paradigm of video analytics and retrieval can be realized. We believe this will helps to resolve the fundamental problem in video surveillance systems where compression and analytics are being done in separate and non-synchronized fashion, which hinders the scalability of video surveillance system in terms of analytics and retrieval capability.

The objective of this proposal is to leverage the technologies advancements made in both compression and analytics such that a new paradigm of video analytics and retrieval can be realized. We believe this will helps to resolve the fundamental problem in video surveillance systems where compression and analytics are being done in separate and non-synchronized fashion, which hinders the scalability of video surveillance system in terms of analytics and retrieval capability.

The project aims to use Bayesian model to analyze and interpret digital evidence for network forensics cases. Bayesian network and belief propagation will be used to determine the “likelihood” of a crime when validity of some of the digital evidence cannot be established.

Traditional computer forensics concentrates on efficient search of digital evidence inside an inactive computer. The emphasis is on whether a particular piece of evidence exists in the machine or not. Recently research in computer forensics attempts to collect digital evidence from a live running system. This type of evidence may contain information that is transient, e.g. network connection. On the other hand, the ultimate goal of computer forensics is to reconstruct the crime scene in the digital world. Therefore one research direction is to concentrates on how to make use of the digital evidence collected from a live running system, filter out irrelevant information, and reconstruct the crime scene. This will involve not only carry out digital evidence search based on the syntactic elements, but also interpreting the evidence in a semantically correct way.