Picture ID authentication is very important for any identification verifications and extremely critical for homeland security. Here we propose a unique picture ID authentication apparatus which combines invisible watermark embedding and detection technology with facial recognition techniques. To demonstrate this apparatus, we implemented a system that is capable of fast and secure verification on the integrity and authenticity of ID documents with face images for Boeing. The proposed invisible watermarks tolerate most-common attacks such as recompression. We believe with only minor improvement this picture ID authentication system can be deployed in real environment at airports and country borders.
More and more digital services provide capability of distributing digital content to end-users through high-band networks, such as satellite systems. In such systems, Digital Right Management has become more and more important and is encountering great challenges. Digital watermarking is proposed as a possible solution for the digital copyright tracking and enforcement. The nature of DRM systems puts high requirements on the watermark's robustness, uniqueness, easy detection, accurate retrieval and convenient management. We have developed a series of feature-based watermarking algorithms for digital video for satellite transmission. In this paper, we will first describe a general secure digital content distribution system model and the requirements of watermark as one mechanism of DRM in digital content distribution applications. Then we will present a few feature-based digital watermarking methods in detail which are integrated with a dynamic watermarking schema to protect the digital content in a dynamic environment. For example, a watermark which is embedded in the DFT feature domain is invariant to rotation, scale and translation. Our proposed DFT domain watermarking schemas in which exploit the magnitude property of the DFT feature domain will allow both robust and easy watermark tracking and detection in the case of copyright infringement using cameras or camcorders. This DFT feature-based watermarking algorithm is able to tolerate large angle rotation and there is no need to search for possible rotated angles, which reduces the complexity of the watermark detection process and allows fast retrieval and easy management. We will then present a wavelet feature-based watermark algorithm for dynamic watermark key updates and key management, and we will conclude the paper with the summary, pointing our future research directions.
A hierarchical semantic tree for sport video analysis by incorporating mixed media cues form video, audio and caption texts is proposed in this research. It allows queries form users at different granularity of semantic meanings. A set of classification functions, which associate the low-level features with video high-level semantic meanings for various applications, are learned by supervised learning algorithms at each node. Experimental results show our proposed scheme and classification system is effective and promising.
To facilitate easy access to rich information of multimedia over the Internet, we develop a knowledge-based classification system that supports automatic Indexing and filtering based on semantic concepts for the dissemination of on-line real-time media. Automatic segmentation, annotation and summarization of media for fast information browsing and updating are achieved in the same time. In the proposed system, a real-time scene-change detection proxy performs an initial video structuring process by splitting a video clip into scenes. Motional and visual features are extracted in real time for every detected scene by using online feature extraction proxies. Higher semantics are then derived through a joint use of low-level features along with inference rules in the knowledge base. Inference rules are derived through a supervised learning process based on representative samples. On-line media filtering based on semantic concepts becomes possible by using the proposed video inference engine. Video streams are either blocked or sent to certain channels depending on whether or not the video stream is matched with the user's profile. The proposed system is extensively evaluated by applying the engine to video of basketball games.
Many multimedia applications, such as multimedia data management systems and communication systems, require efficient representation of multimedia content. Thus semantic interpretation of video content has been a popular research area. Currently, most content-based video representation involves the segmentation of video based on key frames which are generated using scene change detection techniques as well as camera/object motion. Then, video features can be extracted from key frames. However most of such research performs off-line video processing in which the whole video scope is known as a priori which allows multiple scans of the stored video files during video processing. In comparison, relatively not much research has been done in the area of on-line video processing, which is crucial in video communication applications such as on-line collaboration, news broadcasts and so on. Our research investigates on-line real-time scene change detection of multicast video over the Internet. Our on-line processing system are designed to meet the requirements of real-time video multicasting over the Internet and to utilize the successful video parsing techniques available today. The proposed algorithms extract key frames from video bitstreams sent through the MBone network, and the extracted key frames are multicasted as annotations or metadata over a separate channel to assist in content filtering such as those anticipated to be in use by on-line filtering proxies in the Internet. The performance of the proposed algorithms are demonstrated and discussed in this paper.
Conference Committee Involvement (2)
Multimedia Systems and Applications VIII
24 October 2005 | Boston, MA, United States
Internet Multimedia Management Systems V
27 October 2004 | Philadelphia, Pennsylvania, United States
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