Rovi Technologies Corporation

Kenneth Olson

Joonas Asikainen

A method and a system are provided for searching content (e.g., text, metadata and/or a fingerprint, etc.). In one example, the system receives content and a query for matching the content. The content includes computer readable data. The system generates a feature vector for the content. Generating the feature vector comprises generating a signal from the content, generating a spectrogram from the signal, and generating the feature vector from the spectrogram. The system searches for at least one feature vector that matches the feature vector for the content.

Searching text and other types of content by using a frequency domain

A portion of audio content of a multimedia program, such as a television program, is captured from a network. An audio fingerprint is generated based on the portion of audio content, and the audio fingerprint is matched to one of multiple theme song fingerprints stored in a database. An expected theme song time offset associated with the matched theme song fingerprint is retrieved from the database. It is determined whether the program is running on-schedule, based on the time the portion of audio content occurred, a scheduled start time of the program, and/or the expected theme song time offset. If it is determined that the program is running off-schedule, an adjusted start time and/or an adjusted end time of the program are calculated. The program is recorded by a recorder based on the adjusted start time and/or the adjusted end time.

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Ann Arbor, MI, United States of America

Kenneth Olson