Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

An image of success: BU computer scientist takes aim at improved indexing and understanding of digital information

12.06.2003


Inflation’s got nothing to do with it. Since the beginning of time, a picture has always been worth more than a thousand words. But in this age of information proliferation, that reality is the taproot of a vexing problem that Zhongfei "Mark" Zhang, an assistant professor of computer science at Binghamton University, is determined to help solve.




From personal and commercial digital image libraries and multimedia databases to data mining programs and high-tech security and defense surveillance, our need for more efficient and more effective ways to index, retrieve, manipulate and understand complex video or images is pressing. Verbal cues--whether keywords or multiple page abstracts--are just not cut out for the job and neither coercion nor clichés can change that fact, Zhang said.

"It’s very difficult to capture the entire content of a picture with any number of words," Zhang said. "And you certainly can’t capture an image with a single word or with a few key words. In terms of effectiveness, this is not a good approach."


Take, for example, a picture in which a couple stands in front of their house. Behind their house is a large palm tree. Several other shrubs, trees and plants are in the front yard, which is enclosed by a fence. In the background, there are hills and clouds. Imagine what the people are wearing, what they are doing, that one is white and one is black, and the problem comes into sharper focus.

"Looking at such an image, what are the keywords?" Zhang asked. "Couple? Man? Woman? House? Palm? Fence? It’s almost impossible to use words to describe the net content of the image, including its shapes, colors and textures. It takes the power of extensive computer analysis and processing to manage this kind of task.

Still, so far, there is no commercial product available that can index large-scale imagery or non-textual databases in their own modality. As far as I know, all or almost all commercially available multimedia database programs work at the keyword level."

That’s why Zhang is involved in a number of research projects that seek to understand and optimize the indexing, retrieval and use of images based on algorithms that rely on the semantics of the images themselves. His work is funded by industry and defense agencies with grants that are expected to reach more than $200,000 by year’s end.

An expert in image understanding and multimedia indexing and retrieval, Zhang has worked in the recent past on image indexing and retrieval issues with Kodak Corp., and on issues of multimedia indexing and retrieval of patient records with Upstate Medical Center. Those active collaborations evaporated as funding for the projects dried up, but along with his current funded research projects, Zhang continues to pursue the research as well as another currently unfunded project: facial recognition. His progress on all fronts is impressive.

Earlier this month Zhang filed an invention disclosure on his prototype system for improved content-based image retrieval with his student Ruofei Zhang. The system involves the use of a novel fuzzy logic-based indexing scheme, as well as a novel user relevance feedback algorithm. Based on semantic similarity within the images themselves, it can rapidly and effectively identify and retrieve images from very large data bases or the Internet. The system which Zhang has dubbed "FAST" --for Fast And Semantic-Tailored image retrieval-- also "learns" from user feedback about the relevance of images retrieved. In other words, of the images it returns, you tell it which ones bore the closest resemblance to what you were looking for, and it continues to improve its performance with each new search based on your feedback.

Zhang has already been approached about the prototype by the American Museum of Natural History in New York City, where databases of hundreds of thousands of images could become more accessible through better indexing and retrieval.

He is also currently working with funding from the US Air Force on a project to develop a system to automatically recognize independent motion directly in the compressed surveillance video, particularly video shot from unmanned surveillance aircraft such as the Predator. (See related story.)

When video is shot from a moving plane, extensive analysis is needed to detect which if any elements in a given frame or set of frames are moving independently. Currently that analysis requires decompression of compressed video followed by tedious inspection of large, archived image databases by human image analysts.

Zhang is developing a technology that will automatically detect independent motion in compressed video streams from an archived database or even directly from the remote sensor hook up in real time. It will improve by orders of magnitude on the efficiency of the current process.

"If you have a still camera and you want to detect motion, all you have to do is detect the difference between two individual frames," Zhang said. "However, in many scenarios, especially in military surveillance, typically the camera is also in motion, so everything is in motion from frame to frame. We have developed a preliminary prototype system to robustly and automatically detect independent motion directly from the compressed video domain."

But Zhang’s most challenging project to date might be his new work on automatic model generation in an area called information fusion. Preliminary work on this project was funded jointly by the U.S. Air Force and the National Institute of Justice. The project aims at automatic detection of money laundering schemes.

"This is a completely new research problem," Zhang said. "I used to work on computer vision and image understanding focusing on imagery and video data. Now my research horizon is extending to incorporate the area of data mining in general, and in this project we are focusing on the text data modality in particular."

To investigate money laundering crimes, Zhang’s research team has access to a significant amount of textual data, ranging from court reports, financial transaction records and bank statements to personal communications and news reports.

Zhang and his students are developing robust data mining techniques to automatically build up money laundering crime models from scanning such large collections of textual documents. A generated model indicates those involved in a specific money laundering crime, and helps detail the relationships between the individuals involved in the crime (e.g., who is in charge of the group), as well as all the activities the individuals have engaged in as part of the crime.

"Current investigation techniques require at least several months’ effort to build up the model because the model is generated manually," Zhang said. The prototype system Zhang’s group has developed only takes a few minutes to generate a money laundering crime model and so holds great promise in future money laundering investigation, prosecution, and prevention.

"The government is extremely interested in automating, or at least semi-automating this investigation process to significantly save the man power in law enforcement agencies and to significantly expedite the crime investigation and prosecution time," Zhang said.

"Considering the threat of global terrorism, preventing money laundering becomes ever more important to stop the financing of terrorist activities," Zhang said, "and I can tell you, though, that this research has great potential."

Susan E. Barker | Binghamton University
Further information:
http://research.binghamton.edu/discovere/june2003/TopStories/MZhang.htm

More articles from Information Technology:

nachricht New method for simulating yarn-cloth patterns to be unveiled at ACM SIGGRAPH
09.07.2020 | Association for Computing Machinery

nachricht Virtual Reality Environments for the Home Office
09.07.2020 | Universität Stuttgart

All articles from Information Technology >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: The spin state story: Observation of the quantum spin liquid state in novel material

New insight into the spin behavior in an exotic state of matter puts us closer to next-generation spintronic devices

Aside from the deep understanding of the natural world that quantum physics theory offers, scientists worldwide are working tirelessly to bring forth a...

Im Focus: Excitation of robust materials

Kiel physics team observed extremely fast electronic changes in real time in a special material class

In physics, they are currently the subject of intensive research; in electronics, they could enable completely new functions. So-called topological materials...

Im Focus: Electrons in the fast lane

Solar cells based on perovskite compounds could soon make electricity generation from sunlight even more efficient and cheaper. The laboratory efficiency of these perovskite solar cells already exceeds that of the well-known silicon solar cells. An international team led by Stefan Weber from the Max Planck Institute for Polymer Research (MPI-P) in Mainz has found microscopic structures in perovskite crystals that can guide the charge transport in the solar cell. Clever alignment of these "electron highways" could make perovskite solar cells even more powerful.

Solar cells convert sunlight into electricity. During this process, the electrons of the material inside the cell absorb the energy of the light....

Im Focus: The lightest electromagnetic shielding material in the world

Empa researchers have succeeded in applying aerogels to microelectronics: Aerogels based on cellulose nanofibers can effectively shield electromagnetic radiation over a wide frequency range – and they are unrivalled in terms of weight.

Electric motors and electronic devices generate electromagnetic fields that sometimes have to be shielded in order not to affect neighboring electronic...

Im Focus: Gentle wall contact – the right scenario for a fusion power plant

Quasi-continuous power exhaust developed as a wall-friendly method on ASDEX Upgrade

A promising operating mode for the plasma of a future power plant has been developed at the ASDEX Upgrade fusion device at Max Planck Institute for Plasma...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

Contact Tracing Apps against COVID-19: German National Academy Leopoldina hosts international virtual panel discussion

07.07.2020 | Event News

International conference QuApps shows status quo of quantum technology

02.07.2020 | Event News

Dresden Nexus Conference 2020: Same Time, Virtual Format, Registration Opened

19.05.2020 | Event News

 
Latest News

X-ray scattering shines light on protein folding

10.07.2020 | Life Sciences

Looking at linkers helps to join the dots

10.07.2020 | Materials Sciences

Surprisingly many peculiar long introns found in brain genes

10.07.2020 | Life Sciences

VideoLinks
Science & Research
Overview of more VideoLinks >>>