With the increasing development of devices such as personal computers, WAP and personal digital assistants connected to the World Wide Web, end users feel the need to browse the Internet through multiple modalities. We intend to investigate on how to create a user interface and a service distribution platform granting the user access to the Internet through standard I/O modalities and voice simultaneously. Different architectures are evaluated suggesting the more suitable for each client terminal (PC o WAP). In particular the design of the multimodal usermachine interface considers the synchronization issue between graphical and voice contents.
In this paper, we present an effective framework for features extraction from an athletic sport sequence. We analyze both forward and backward motion vectors from MPEG 2 video sequences for camera movements detection. Features like the beginning and the end of the race and the type of competition are strictly connected to the camera
motion. Our algorithm is able to extract the frame number of the investigated feature with very high accuracy.
Usually watermark is used as a way for hiding information on digital media. The watermarked information may be used to allow copyright protection or user and media identification. In this paper we propose a watermarking scheme for digital audio signals that allow automatic identification of musical pieces transmitted in TV broadcasting programs. In our application the watermark must be, obviously, imperceptible to the users, should be robust to standard TV and radio editing and have a very low complexity. This last item is essential to allow a software real-time implementation of the insertion and detection of watermarks using only a minimum amount of the computation power of a modern PC. In the proposed method the input audio sequence is subdivided in frames. For each frame a watermark spread spectrum sequence is added to the original data. A two steps filtering procedure is used to generate the watermark from a Pseudo-Noise (PN) sequence. The filters approximate respectively the threshold and the frequency masking of the Human Auditory System (HAS). In the paper we discuss first the watermark embedding system then the detection approach. The results of a large set of subjective tests are also presented to demonstrate the quality and robustness of the proposed approach.