The Internet is searched in order to find resources that provide streamable audio such as live Internet broadcasts. The resources are identified based on their file extension and are categorized according to, e.g., the natural language or music style. The user is enabled to browse the collection based on textual or musical input.
The Internet is searched in order to find resources that provide streamable audio such as live Internet broadcasts. The resources are identified based on their file extension and are categorized according to, e.g., the natural language or music style. The user is enabled to browse the collection based on textual or musical input.
A method includes querying a plurality of search engines for properties to identify for which content categories the search engines are suited. A query to locate content is communicated to those of the plurality of search engines suited to service the query to locate content, based on at least one content category of the query to locate content.
A targeted search in the form of a fingerprint is generated utilizing audio-visual representations of the search parameters in a master plan so as to present the user with hypothetical vision parameters arrayed in a cascaded manner corresponding to the process individuals use when shopping, with the result being the generation of the parameters that converge on the ultimate fingerprint. In one embodiment a touch screen is utilized to present the hypothetical vision parameters, with the touching of the screen causing a parameter value to be entered into the fingerprint. On-screen vision parameters are kept in the one region of the screen to enable the user to go backwards from any level of the cascade back to any other prior level or even back to the original cascade, such that the cascaded vision parameters are retained on screen. A virtual consultant may be evoked at any point within the cascade to aid the user in making a choice between hypothetical vision parameters, with a zoom feature also being provided to zoom in on a feature in an on-screen vision parameter to be able to further define a parameter within a given category.
A method and system for direct audio capture and identification of the captured audio. A user may then be offered the opportunity to purchase recordings directly over the Internet or similar outlet. The system preferably includes one or more user-carried portable audio capture devices that employ a microphone, analog to digital converter, signal processor, and memory to store samples of ambient audio or audio features calculated from the audio. Users activate their capture devices when they hear a recording that they would like to identify or purchase. Later, the user may connect the capture device to a personal computer to transfer the audio samples or audio feature samples to an Internet site for identification. The Internet site preferably uses automatic pattern recognition techniques to identify the captured samples from a library of recordings offered for sale. The user can then verify that the sample is from the desired recording and place an order online. The pattern recognition process uses features of the audio itself and does not require the presence of artificial codes or watermarks. Audio to be identified can be from any source, including radio and television broadcasts or recordings that are played locally.
