Abstract: A method of crowdsourcing annotation for medical image data based on image comparison, includes developing an annotation task; acquiring and verifying medical images according to requirements of the annotation task, and performing statistics on the medical images that meet verification standards to obtain an amount of image data acquired; archiving the medical images that meet the verification standards to form a medical image database; setting up annotation rules, and generating annotation schemes and annotation samples according to the requirements of the annotation task and annotation rules; distributing the medical images in the medical image database to multiple crowdsourcing annotation sides, so that each medical image being annotated by the multiple crowdsourcing annotation sides; annotating, by the crowdsourcing annotation sides, the distributed medical images according to the annotation schemes and the annotation examples to form the annotated images; and merging multiple annotated images correspondi

Abstract: Systems and methods are provided herein for generating optimized video segments. A derivative video segment (e.g., a scene) can be identified from derivative video content (e.g., a movie trailer). The segment may be used a query to search video content (e.g., the movie) for the segment. Once found, an optimized video segment may be generated from the video content. The optimized video segment may have a different start time and/or end time than those corresponding to the original segment. Once optimized, the video segment may be presented to a user or stored for subsequent content recommendations.

Abstract: Techniques for automatic scene change detection in a video are described. As one example, a computer-implemented method includes extracting features of a query shot and its neighboring shots of a first set of shots without labels with a query model, determining a key shot of the neighboring shots which is most similar to the query shot based at least in part on the features of the query shot and its neighboring shots, extracting features of the key shot with a key model, training the query model into a trained query model based at least in part on a comparison of the features of the query shot and the features of the key shot, extracting features of a second set of shots with labels with the trained query model, and training a temporal model into a trained temporal model based at least in part on the features extracted from the second set of shots and the labels of the second set of shots.

Abstract: The invention discloses a device for producing biogas with high methane content by utilizing livestock and poultry feces, wherein the interior of a tank body of a biogas fermentation tank is divided by a baffle, so as to form a main reaction chamber and an auxiliary reaction chamber which are communicated in upper portions, so that a reactant flows into the auxiliary reaction chamber only after entering the main reaction chamber via a relatively low feeding hole and then reaching a high position of a liquid level, and extension of fermentation time is realized, meanwhile, scales formed at the top of fermentation broth flow into the auxiliary reaction chamber along with liquid, so that the interior of the main reaction chamber keeps a liquid state all the time, and sealing and reduction of quantity of anaerobic bacteria are avoided.

Abstract: Techniques for a comic book feature are described herein. A visual data stream of a video may be parsed into a plurality of frames. Scene boundaries may be determined to generate a scene using the plurality of frames where a scene includes a subset of frames. A key frame may be determined for the scene using the subset of frames. An audio portion of an audio data stream of the video may be identified that maps to the subset of frames based on time information. The key frame may be converted to a comic image based on an algorithm. First dimensions and placement for a data object may be determined for the comic image. The data object may include the audio portion for the comic image. A comic panel may be generated for the comic image that incorporates the data object using the determined first dimensions and the placement.

Abstract: Approaches for the automatic segmentation of magnetic resonance (MR) images. Machine learning models segment images to identify image features in consecutive frames at different levels of resolution. A neural network block is applied to groups of MR images to produce primary feature maps at two or more levels of resolution. The images in a given group of MR images may correspond to a cycle and have a temporal order. A second RNN block is applied to the primary feature maps to produce two or more output tensors at corresponding levels of resolution. A segmentation block is applied to the two or more output tensors to produce a probability map for the MR images. The first neural network block may be a convolutional neural network (CNN) block. The second neural network block may be a convolutional long short-term (LSTM) block.

Abstract: The invention discloses a device for producing biogas with high methane content by utilizing livestock and poultry feces, wherein the interior of a tank body of a biogas fermentation tank is divided by a baffle, so as to form a main reaction chamber and an auxiliary reaction chamber which are communicated in upper portions, so that a reactant flows into the auxiliary reaction chamber only after entering the main reaction chamber via a relatively low feeding hole and then reaching a high position of a liquid level, and extension of fermentation time is realized, meanwhile, scales formed at the top of fermentation broth flow into the auxiliary reaction chamber along with liquid, so that the interior of the main reaction chamber keeps a liquid state all the time, and sealing and reduction of quantity of anaerobic bacteria are avoided.

Abstract: Comprehensive, compact, and discriminative representations of videos can be obtained using a counting grid representation of the video and aggregating features associated with active locations of the counting grid to obtain a feature representation of the video. The feature representation can be used for video retrieval and/or recognition. In some examples, the techniques may include conducting normalization and dimension reduction on the aggregated features to obtain a further compact and discriminative feature representation. In some examples, the counting grid representation of the video is generated using a pre-trained counting grid model in order to provide spatially consistent feature representations of the videos.

Abstract: Approaches for the automatic segmentation of magnetic resonance (MR) images. Machine learning models segment images to identify image features in consecutive frames at different levels of resolution. A neural network block is applied to groups of MR images to produce primary feature maps at two or more levels of resolution. The images in a given group of MR images may correspond to a cycle and have a temporal order. A second RNN block is applied to the primary feature maps to produce two or more output tensors at corresponding levels of resolution. A segmentation block is applied to the two or more output tensors to produce a probability map for the MR images. The first neural network block may be a convolutional neural network (CNN) block. The second neural network block may be a convolutional long short-term (LSTM) block.

Abstract: A network device includes a shelf in which a first accommodation area, a second accommodation area, a first channel, and a second channel are disposed. A third channel is formed between adjacent rear board modules or between the rear board module and the shelf. A first fan and a second fan are both disposed at a rear end of the shelf, the first fan faces the third channel, and the second fan faces the second channel. A first airflow sequentially passes, from a front end of the shelf, through the front board module in the first accommodation area, the third channel, and the first fan to form a first heat dissipation channel. A second airflow sequentially passes through the inside of the rear board module, the second channel, and the second fan after entering the first channel from the outside of the shelf to form a second heat dissipation channel.

Abstract: Comprehensive, compact, and discriminative representations of videos can be obtained using a counting grid representation of the video and aggregating features associated with active locations of the counting grid to obtain a feature representation of the video. The feature representation can be used for video retrieval and/or recognition. In some examples, the techniques may include conducting normalization and dimension reduction on the aggregated features to obtain a further compact and discriminative feature representation. In some examples, the counting grid representation of the video is generated using a pre-trained counting grid model in order to provide spatially consistent feature representations of the videos.

Abstract: A method and system is proposed to create a generative model to interpolate any view of a planar scene given a sequence of reference views and a synthesis view that is optimized by the marginalization of photometric regulation, and geometric registration parameters. According to one aspect of the claimed subject matter, a technique is proposed to combine information from varying input camera poses. Planar homography based image super resolution in free view interpolation for planar structure is applied to the combined information. Non-redundant information is combined in such a manner that the high resolution and free view problems in traditional 2D based image-based rendering techniques are overcome.

Abstract: Apparatus and method for modification of emotion conveyed by an image. In one aspect, a metric corresponding to the emotion conveyed by an image is generated, and a command for modifying the emotion of the image causes the emotion conveyed by the image to be changed according to the specified change to emotion. The command to modify the image emotion can be made via an emotion keyword, and can include an indicated magnitude of emotion change. Emotion conveyed by an image can be specified via an emotion vector, where elements of the vector correspond with emotions arranged along orthogonal dimensions in an emotion space. In one aspect, an emotion predictor is trained to predict the emotion conveyed by an image via determining characteristic values for a set of image feature categories, based on a set of images associated with emotion keywords of the emotion space.

Abstract: Described embodiments utilize a multi-scale timeline approach in which photographs in a photograph album are organized into photograph clusters associated with multiple timeline scales. Each photograph cluster can be represented on a display screen as a thumbnail indicator in a photograph album window for efficient browsing. The thumbnail indicator can comprise one or more images automatically selected to represent a large number of photographs from the photograph cluster. Activation of one of the thumbnail indicators can trigger a change to another timeline scale. A multi-scale timeline one-step incremental spectral photograph clustering algorithm can also be utilized to quickly add or delete photographs from the cluster photographs at multiple timeline scales with a complexity approaching O(n).

Abstract: A network device includes a shelf in which a first accommodation area, a second accommodation area, a first channel, and a second channel are disposed. A third channel is formed between adjacent rear board modules or between the rear board module and the shelf. A first fan and a second fan are both disposed at a rear end of the shelf, the first fan faces the third channel, and the second fan faces the second channel. A first airflow sequentially passes, from a front end of the shelf, through the front board module in the first accommodation area, the third channel, and the first fan to form a first heat dissipation channel. A second airflow sequentially passes through the inside of the rear board module, the second channel, and the second fan after entering the first channel from the outside of the shelf to form a second heat dissipation channel.

Abstract: An apparatus comprising one or more processors configured to receive a digital image comprising a current pixel and a plurality of nearby pixels, determine a pixel intensity of the current pixel, wherein the pixel intensity comprises a noise component, and reduce the noise component by applying a bilateral filter as a combination of a domain filter and a range filter on the current pixel, wherein the domain filter is dependent on the pixel intensity and geometric closeness between the current pixel and the nearby pixels, and wherein the range filter is dependent on the pixel intensity and photometric similarity between the current pixel and the nearby pixels.

Abstract: A method for performing a video conference in a mobile phone is provided. The video conference involves a plurality of conferencing devices that display presentation content and a video image of one or more participants in the video conference. The mobile phone receives a first and second real-time transport protocol (RTP) packets including a video image of a participant and presentation content in the video conference, respectively. The video image of the participant includes a face portion of the participant and a background portion. The mobile phone decodes the video image of the participant and the presentation content, extracts the face portion of the participant from the video image of the participant, overlays the face portion of the participant over a portion of the presentation content to form a composite image, and displays the composite image on a display device of the mobile phone.

Abstract: Apparatus and method for modification of emotion conveyed by an image. In one aspect, a metric corresponding to the emotion conveyed by an image is generated, and a command for modifying the emotion of the image causes the emotion conveyed by the image to be changed according to the specified change to emotion. The command to modify the image emotion can be made via an emotion keyword, and can include an indicated magnitude of emotion change. Emotion conveyed by an image can be specified via an emotion vector, where elements of the vector correspond with emotions arranged along orthogonal dimensions in an emotion space. In one aspect, an emotion predictor is trained to predict the emotion conveyed by an image via determining characteristic values for a set of image feature categories, based on a set of images associated with emotion keywords of the emotion space.

Abstract: A method and system is proposed to create a generative model to interpolate any view of a planar scene given a sequence of reference views and a synthesis view that is optimized by the marginalization of photometric regulation, and geometric registration parameters. According to one aspect of the claimed subject matter, a technique is proposed to combine information from varying input camera poses. Planar homography based image super resolution in free view interpolation for planar structure is applied to the combined information. Non-redundant information is combined in such a manner that the high resolution and free view problems in traditional 2D based image-based rendering techniques are overcome.

Abstract: An apparatus comprising one or more processors configured to receive a digital image comprising a current pixel and a plurality of nearby pixels, determine a pixel intensity of the current pixel, wherein the pixel intensity comprises a noise component, and reduce the noise component by applying a bilateral filter as a combination of a domain filter and a range filter on the current pixel, wherein the domain filter is dependent on the pixel intensity and geometric closeness between the current pixel and the nearby pixels, and wherein the range filter is dependent on the pixel intensity and photometric similarity between the current pixel and the nearby pixels.