Adaptable videolens media engine
A system, method, and computer program product for automatically analyzing multimedia data are disclosed. Embodiments receive multimedia data, detect portions having specified features, and output a corresponding subset of the multimedia data. Content features from downloaded or streaming movies or video clips are identified as a human probably would do, but in essentially real time. Embodiments then generate an index or menu based on individual consumer preferences. Consumers can peruse the index, or produce customized trailers, or edit and tag content with metadata as desired. The tool can categorize and cluster content by feature, to assemble a library of scenes or scene clusters according to user-selected criteria. The results may be sent to visual search engines so that further related content may be identified for use as a customized trailer, replacement content for advertisements, or as material to be shared with others.
1. A method for automated analysis of multimedia data, comprising:
receiving multimedia data;
receiving user inputted query for a specified content feature;
analyzing the multimedia data and identifying multimedia data portions having the specified content features in response to receiving the user inputted query; and
responsively outputting a collection of identified multimedia data portions;
wherein the analyzing of the multimedia data comprises identifying at least one of action scene and low motion scene based on a combined audio and video data analysis;
wherein the audio data analysis comprises an analysis of audio level; and
wherein the video data analysis comprises an analysis of video features generated during an encoding process.
2. The method of claim 1 wherein a media player plug-in tool performs the analysis.
3. The method of claim 1 wherein the multimedia data includes at least one of audio content, video content, compressed multimedia data, uncompressed multimedia data, downloaded data, streaming data, online data, and free data.
4. The method of claim 1 wherein the identified multimedia data portion is at least one of an audio clip, a video image, and a video clip.
5. The method of claim 1 wherein the collection includes at least one of an index, a set of video clips, a set of video images, and a set of audio clips.
6. The method of claim 1 further comprising tagging the collection with metadata.
7. The method of claim 1 further comprising displaying the collection in a graphical user interface.
8. The method of claim 7 wherein the collection is a DVD menu.
9. The method of claim 1 further comprising categorizing a set of user-selected multimedia data portions by content feature.
10. The method of claim 1 further comprising clustering a set of user-selected multimedia data portions by content feature.
11. The method of claim 1 further comprising defining a playback sequence corresponding to a sequence of content features defined by a user.
12. The method of claim 11 further comprising at least one of tagging, cropping, mixing, and saving the playback sequence.
13. The method of claim 11 further comprising replacing at least one advertisement with the playback sequence.
14. The method of claim 11 wherein the playback sequence summarizes a surveillance video.
15. The method of claim 11 wherein the playback sequence is a user-customized movie trailer.
16. The method of claim 11 wherein the playback sequence is at least one of a DVD introduction, a DVD menu transition sequence, a DVD chapter, and a DVD special feature.
17. The method of claim 1 further comprising generating metadata corresponding to the analysis.
18. The method of claim 1 wherein the analysis occurs in real time.
19. A system for automatically analyzing multimedia data, comprising:
a processor configured to:
receive multimedia data;
receive user inputted query for a specified content feature;
analyze the multimedia data and identify multimedia data portions having the specified content features in response to receiving the user inputted query; and
responsively output a collection of identified multimedia data portions and metadata;
wherein analyze the multimedia data step comprises identifying at least one of action scene and low motion scene based on a combined audio and video data analysis;
wherein the audio data analysis comprises an analysis of audio level; and
wherein the video data analysis comprises an analysis of video features generated during an encoding process.
20. A computer program product comprising a machine-readable medium tangibly embodying non-transitory program instructions thereon that, when executed by a computer, cause the computer to:
receive multimedia data;
receive user inputted query for a specified content feature;
analyze the multimedia data and identify multimedia data portions having the specified content features in response to receiving the user inputted query; and
responsively output a collection of identified multimedia data portions and metadata;
wherein analyze the multimedia data step comprises identifying at least one of action scene and low motion scene based on a combined audio and video data analysis;
wherein the audio data analysis comprises an analysis of audio level; and
wherein the video data analysis comprises an analysis of video features generated during an encoding process.