Abstract: A method of embedding data into an audio signal provides a data sequence for embedding in the audio signal and computes masking thresholds for the audio signal from a frequency domain transform of the audio signal. The masking thresholds correspond to subbands of the audio signal, which are obtained from a masking model used to compress the audio signal. The method applies the masking threshold to the data sequence to produce masked data sequence and inserts the masked data sequence in the audio signal to produce an embedded audio signal. A method of detecting data embedded in an audio signal analyzes the audio signal to estimate the masking threshold used in embedding the data and applies the estimated masking threshold to the audio signal to extract the embedded data.

Abstract: Methods of embedding and detecting watermarks in video use temporal analysis to compute temporal components of video from which the watermarks are embedded and detected. Temporal analysis, such as a temporal wavelet, is used to compute representations of static and dynamic portions of the video. For embedding, watermarks are computed from and/or adapted to the temporal components. For detecting, temporal properties are exploited to detect watermarks in the static and/or dynamic components. Temporal analysis also enables plural watermarks to be embedded at different levels of temporal resolution.

Abstract: A method of embedding a watermarking in a host signal computes a first watermark depending on a particular party and computes a second watermark depending on the host signal. The method embeds the first and second watermarks in the host signal. At least one of the watermarks is embedded using a key derived from the host signal. In particular, one of the watermarks is embedded with a key derived from the host signal.

Abstract: Methods for embedding data, such as digital watermarks, in video objects segmented from video frames. Watermarks are embedded such that they move with the object in the video frames. Interframe motion of video objects is estimated and used to modify the watermark accordingly. Methods for detecting embedded data from video objects are also disclosed.

Abstract: Methods of embedding and detecting watermarks in video use temporal analysis to compute temporal components of video from which the watermarks are embedded and detected. Temporal analysis, such as a temporal wavelet, is used to compute representations of static and dynamic portions of the video. For embedding, watermarks are computed from and/or adapted to the temporal components. For detecting, temporal properties are exploited to detect watermarks in the static and/or dynamic components. Temporal analysis also enables plural watermarks to be embedded at different levels of temporal resolution.

Abstract: A method of embedding a watermarking in a host signal computes a first watermark depending on a particular party and computes a second watermark depending on the host signal. The method embeds the first and second watermarks in the host signal. At least one of the watermarks is embedded using a key derived from the host signal. In particular, one of the watermarks is embedded with a key derived from the host signal.

Abstract: Methods for embedding data, such as digital watermarks, in video objects segmented from video frames. Watermarks are embedded such that they move with the object in the video frames. Interframe motion of video objects is estimated and used to modify the watermark accordingly. Methods for detecting embedded data from video objects are also disclosed.

Abstract: A method of embedding data into an audio signal provides a data sequence for embedding in the audio signal and computes masking thresholds for the audio signal from a frequency domain transform of the audio signal. The masking thresholds correspond to subbands of the audio signal, which are obtained from a masking model used to compress the audio signal. The method applies the masking threshold to the data sequence to produce masked data sequence and inserts the masked data sequence in the audio signal to produce an embedded audio signal. A method of detecting data embedded in an audio signal analyzes the audio signal to estimate the masking threshold used in embedding the data and applies the estimated masking threshold to the audio signal to extract the embedded data.