Abstract: A pixel having a variable exposure for a scene capture device, the pixel comprising a photodiode, a buffer and a memory element and a switching mechanism. The memory element is configured to store an exposure control bit and the switching mechanism configured to control a variable exposure period of the photodiode based on the exposure control bit and to reset a voltage on said photodiode to a reference voltage.

Abstract: In one embodiment, a method determines known features for existing face tracks that have identity labels and builds a database using these features. The face tracks may have multiple different views of a face. Multiple features from the multiple faces may be taken to build the face models. For an unlabeled face track without identity information, the method determines its sampled features and finds labeled nearest neighbor features with respect to multiple feature spaces from the face models. For each face in the unlabeled face track, the method decomposes the face as a linear combination of its neighbors from the known features from the face models. Then, the method determines weights for the known features to weight the coefficients of the known features. Particular embodiments use a non-linear weighting function to learn the weights that provides more accurate labels.

Abstract: In one embodiment, a method determines a video including ad slots inserted within the video. The method generates a caption curve for a caption file of caption segments for a video based on start and stop times for caption segments in the caption file. The caption segments in the caption file were generated for the video without including ad slots. Then, the method determines a speech velocity for the video using the caption file and revises the caption curve based on the speech velocity and a number of characters in caption segments in the caption file. A speech probability curve is determined based on audio of the video and the method correlates the speech probability curve to the revised caption curve to align the caption segments of the caption file with speech of the video.

Abstract: The present embodiments relate to detecting multiple landmarks in medical images. By way of introduction, the present embodiments described below include apparatuses and methods for detecting landmarks using hierarchical feature learning with end-to-end training. Multiple neural networks are provided with convolutional layers for extracting features from medical images and with a convolutional layer for learning spatial relationships between the extracted features. Each neural network is trained to detect different landmarks using a different resolution of the medical images, and the convolutional layers of each neural network are trained together with end-to-end training to learn appearance and spatial configuration simultaneously. The trained neural networks detect multiple landmarks in a test image iteratively by detecting landmarks at different resolutions, using landmarks detected a lesser resolutions to detect additional landmarks at higher resolutions.

Abstract: In one embodiment, a method selects a set of accounts related to a video using a first classifier that is trained to identify the set of accounts from a plurality of accounts and selects a token used to identify the video. A second classifier is trained to identify short messages that are related to the video using a first set of short messages from the accounts related to the video and the second set of short messages including the tokens. A third set of short messages is identified that is related to the video from a plurality of short messages. The method normalizes words in the set of short messages using a mixed model including a lexicon model and a translation model. Then, the method generates a set of ratings for the set of short messages and uses the set of ratings in a service for a video delivery service.

Abstract: In one embodiment, a method receives a video and information for entities that appear in the video. The video is played in a media player without displaying a queue configured to display one or more entities. When an input is received to display the queue while playing the video, the method performs: determining a set of entities in relation to a time associated with playing the video using the information for the entities that appear in the video and displaying the set of entities in the queue, wherein the video continues to play in the media player while the queue is displayed.

Abstract: A Raman pump laser control apparatus comprises a wavelength division multiplexer, a tap coupler, a photoelectric detector, an analog amplification processing circuit, an analog-to-digital converter, a fast Raman pump control unit, an digital-analog converter, and a Raman pump laser. The fast Raman pump control unit, after having known anticipated output light power of the Raman pump laser, based on a direct relationship between a current anticipated output light power of the Raman pump laser and input digital quantity that is needed by the digital-analog converter, uses a feedforward control mechanism so that actual output light power of the Raman pump laser fastly approximates the anticipated output light power thereof, and then synchronously combines with a feedback control mechanism so that the actual output light power of the Raman pump laser is precisely locked on the anticipated output light power, thereby achieving fast and precise control of the Raman pump laser.

Abstract: A liquid crystal display module and a mobile device are provided. The liquid crystal display module includes: a display function component and a cover glass structure. The display function component is disposed in a receiving space of a middle-frame structure of a mobile device. The cover glass structure includes a front glass structure directly disposed on the display function component. A dimension of the front glass structure matches with the middle-frame structure and the cover glass structure covers a majority of an upper surface of the mobile device.

Abstract: A hybrid fiber amplifier and method of adjusting gain and gain slope of thereof. The hybrid fiber amplifier comprises: RFA and EDFA that does not comprise variable optical attenuator. The RFA comprises pump signal combiner, pump laser group, out-of-band narrow-band filter, and photodetector. The EDFA comprises input coupler, erbium-doped fiber, output coupler, input photodetector, and output photodetector that are connected in sequence. The hybrid fiber amplifier also comprises control module that coordinates and controls EDFA and/or RFA to adjust gain and/or the gain slope based on desired amplification requirements. The EDFA and/or RFA can be coordinated and controlled by using the control module to achieve desired amplification effect. In addition, the EDFA does not comprise the variable optical attenuator, which avoids problems caused by the variable optical attenuator.

Abstract: In one embodiment, a method receives a video for a media program and a set of captions for a dialog in the video. A media player plays the video. A time associated with playing of the video is determined and then the method determines a set of entities in relation to the time. The set of entities are included in one or more captions in the set of captions. The method displays the set of entities in a queue where the set of entities are associated with additional information for each respective entity in the set of entities.

Abstract: In one embodiment, the method incorporates a first set of words that belong to a topic in a set of topics that correspond to a set of genomes in a model, the words being incorporated in the model via a first item in the model. Then, the method incorporates a relationship between a second set of words that are associated with topics in the set of topics via a second item in the model. The model is trained with respect to the first item and the second item to determine a probability distribution of terms for the set of topics based on analyzing textual information for a plurality of media programs. The method further scores terms for each of the plurality of media programs based on the trained model to rank topics that correspond to genomes, the genomes describing characteristics for each media program.

Abstract: A Raman pump laser control apparatus comprises a wavelength division multiplexer, a tap coupler, a photoelectric detector, an analogue amplification processing circuit, an analogue-to-digital converter, a fast Raman pump control unit, an digital-analog converter, and a Raman pump laser. The fast Raman pump control unit, after having known anticipated output light power of the Raman pump laser, based on a direct relationship between a current anticipated output light power of the Raman pump laser and input digital quantity that is needed by the digital-analog converter, uses a feedforward control mechanism so that actual output light power of the Raman pump laser fastly approximates the anticipated output light power thereof, and then synchronously combines with a feedback control mechanism so that the actual output light power of the Raman pump laser is precisely locked on the anticipated output light power, thereby achieving fast and precise control of the Raman pump laser.

Abstract: A liquid crystal display module and a mobile device are provided. The liquid crystal display module includes: a display function component and a cover glass structure. The display function component is disposed in a receiving space of a middle-frame structure of a mobile device. The cover glass structure includes a front glass structure directly disposed on the display function component. A dimension of the front glass structure matches with the middle-frame structure and the cover glass structure covers a majority of an upper surface of the mobile device.

Abstract: Particular embodiments configure a video delivery system to provide different modes for seeking in a video. The different modes may segment the video on different boundaries based on different characteristics of the video. For example, the different modes may seek by scene, by shot, and by dialogue. The boundaries for scenes, shots, and dialogue may start the video on logical points that do not break up the flow of the video. In another embodiment, the media player may save a seek history for a user and allow the user to scan the previous seek requests to go back to the seek times of previous seek requests. In one embodiment, the previous seek times are adjusted via the boundary information to show thumbnails for a shot, scene, or dialogue that correspond to the boundaries in the video rather than the original seek time.

Abstract: In one embodiment, a method defines information for a set of genomes where the set of genomes describe characteristics of media programs. The method also defines which genomes in the set of genomes correspond to which topics in a set of topics. Textual information for a plurality of media programs and the information are input into a model and the model is trained to determine a probability distribution of terms for the set of topics based on analyzing the textual information and the genome information. The method then outputs the trained model. The probability distribution of terms is usable to determine genomes for each of the plurality of media programs where a genome corresponds to a topic and is associated with a media program based on terms found in the textual information for the media program and the probability distribution of terms for the topic correspond to the genome.

Abstract: A computer system for evaluating transactions in a network includes a storage medium, one or more processors coupled to said storage medium, and computer code stored in said storage medium. Computer code, when retrieved from said storage medium and executed by said one or more processor, causes the system to receive a plurality of transactions over the network, and automatically generating rules for evaluating the transactions, using the computer system. Each of the rules includes variables and partition of values of the variables, each partition having an assigned score. The computer system also automatically combining the rule scores to form a final score.

Abstract: In one embodiment, a method determines a video including ad slots inserted within the video. The method generates a caption curve for a caption file of caption segments for a video based on start and stop times for caption segments in the caption file. The caption segments in the caption file were generated for the video without including ad slots. Then, the method determines a speech velocity for the video using the caption file and revises the caption curve based on the speech velocity and a number of characters in caption segments in the caption file. A speech probability curve is determined based on audio of the video and the method correlates the speech probability curve to the revised caption curve to align the caption segments of the caption file with speech of the video.