Abstract: Various aspects of a method and system to present information via a user interface are disclosed herein. In accordance with an embodiment, the method includes detection of an orientation of an electronic device. The electronic device overlays one or more layers of information on the user interface displayed at the electronic device. Transparency of the overlaid one or more layers of information is dynamically adjusted based on the detected orientation of the electronic device.

Abstract: 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.

Abstract: 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.

Abstract: Various aspects of a method and system to present information via a user interface are disclosed herein. In accordance with an embodiment, the method includes detection of an orientation of an electronic device. The electronic device overlays one or more layers of information on the user interface displayed at the electronic device. Transparency of the overlaid one or more layers of information is dynamically adjusted based on the detected orientation of the electronic device.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system, method, and computer program product for automatically analyzing multimedia data audio content are disclosed. Embodiments receive multimedia data, detect portions having specified audio features, and output a corresponding subset of the multimedia data and generated metadata. Audio content features including voices, non-voice sounds, and closed captioning, from downloaded or streaming movies or video clips are identified as a human probably would do, but in essentially real time. Particular speakers and the most meaningful content sounds and words and corresponding time-stamps are recognized via database comparison, and may be presented in order of match probability. Embodiments responsively pre-fetch related data, recognize locations, and provide related advertisements. The content features may be also sent to search engines so that further related content may be identified. User feedback and verification may improve the embodiments over time.

Abstract: 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.

Abstract: A method and apparatus for transmitting a digitally encoded video image in real time wherein the video image is digitally encoded using a compression algorithm having a variable bit rate, e.g., JPEG2K, to provide an encoded data stream, the encoded data stream is fed into a buffer of known size, and the data is read from the buffer via a streamer with a controllable bit rate to provide a bit stream at a desired stream bit rate for transmission. The bit rate of the encoded data stream from the encoder is monitored by a predictor and predicts a future bit rate of the encoded data stream; and, the bit rate of at least one of the encoder and the streamer is adjusted to provide the desired streaming bit rate wherein the predicting of the future bit rate is carried out using a prediction model based on a smoothed bit rate vs. time curve of the encoded data stream.

Abstract: 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.

Abstract: A host device can establish a date and time for an online event such as a movie and send invitations out to join viewing the movie to, e.g., friends on a social network. Accepting friends, along with the host, can enter a theater page prior to the start time to view thumbnails of related recommended movies and can also enter a lobby page to chat and view who else has been invited to attend the movie.

Abstract: A method and apparatus for transmitting a digitally encoded video image in real time wherein the video image is digitally encoded using a compression algorithm having a variable bit rate, e.g., JPEG2K, to provide an encoded data stream, the encoded data stream is fed into a buffer of known size, and the data is read from the buffer via a streamer with a controllable bit rate to provide a bit stream at a desired stream bit rate for transmission. The bit rate of the encoded data stream from the encoder is monitored by a predictor and predicts a future bit rate of the encoded data stream; and, the bit rate of at least one of the encoder and the streamer is adjusted to provide the desired streaming bit rate wherein the predicting of the future bit rate is carried out using a prediction model based on a smoothed bit rate vs. time curve of the encoded data stream.

Abstract: A method and apparatus for transmitting a digitally encoded video image in real time via a data network wherein the video image is digitally encoded using a compression algorithm having a variable bit rate, e.g., JPEG2K, to provide an encoded data stream, the encoded data stream is fed into a buffer of known size, and the data is read from the buffer via a streamer with a controllable bit rate to provide a bit stream at a desired stream bit rate for transmission via the network. The bit rate of the encoded data stream from the encoder is monitored by a predictor and predicts a future bit rate of the encoded data stream; and, the bit rate of at least one of the encoder and the streamer is adjusted to provide the desired streaming bit rate.

Abstract: A system, method, and computer program product for automatically analyzing multimedia data audio content are disclosed. Embodiments receive multimedia data, detect portions having specified audio features, and output a corresponding subset of the multimedia data and generated metadata. Audio content features including voices, non-voice sounds, and closed captioning, from downloaded or streaming movies or video clips are identified as a human probably would do, but in essentially real time. Particular speakers and the most meaningful content sounds and words and corresponding time-stamps are recognized via database comparison, and may be presented in order of match probability. Embodiments responsively pre-fetch related data, recognize locations, and provide related advertisements. The content features may be also sent to search engines so that further related content may be identified. User feedback and verification may improve the embodiments over time.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and apparatus for transmitting a digitally encoded video image in real time via a data network wherein the video image is digitally encoded using a compression algorithm having a variable bit rate, e.g., JPEG2K, to provide an encoded data stream, the encoded data stream is fed into a buffer of known size, and the data is read from the buffer via a streamer with a controllable bit rate to provide a bit stream at a desired stream bit rate for transmission via the network. The bit rate of the encoded data stream from the encoder is monitored by a predictor and predicts a future bit rate of the encoded data stream; and, the bit rate of at least one of the encoder and the streamer is adjusted to provide the desired streaming bit rate.

Abstract: A method and apparatus for transmitting a digitally encoded video image in real time via a data network wherein the video image is digitally encoded using a compression algorithm having a variable bit rate, e.g., JPEG2K, to provide an encoded data stream, the encoded data stream is fed into a buffer of known size, and the data is read from the buffer via a streamer with a controllable bit rate to provide a bit stream at a desired stream bit rate for transmission via the network. The bit rate of the encoded data stream from the encoder is monitored by a predictor and predicts a future bit rate of the encoded data stream; and, the bit rate of at least one of the encoder and the streamer is adjusted to provide the desired streaming bit rate.