Abstract: Various embodiments related to the generation and provision of media metadata are disclosed. For example, one disclosed embodiment provides a computing device having a logic subsystem configured to execute instructions, and a data holding subsystem comprising instructions stored thereon that are executable by the processor to receive an input of a video and/or audio content item, and to compare the content item to one or more object descriptors each representing an object for locating within the content item to locate instances of one or more of the objects in the content item. The instructions are further executable to generate metadata for each object located in the video content item, and to receive a validating user input related to whether the metadata generated for a selected object is correct.

Abstract: Various embodiments related to the generation and provision of media metadata are disclosed. For example, one disclosed embodiment provides a computing device having a logic subsystem configured to execute instructions, and a data holding subsystem comprising instructions stored thereon that are executable by the processor to receive an input of a video and/or audio content item, and to compare the content item to one or more object descriptors each representing an object for locating within the content item to locate instances of one or more of the objects in the content item. The instructions are further executable to generate metadata for each object located in the video content item, and to receive a validating user input related to whether the metadata generated for a selected object is correct.

Abstract: Various embodiments related to the generation and provision of media metadata are disclosed. For example, one disclosed embodiment provides a computing device having a logic subsystem configured to execute instructions, and a data holding subsystem comprising instructions stored thereon that are executable by the processor to receive an input of a video and/or audio content item, and to compare the content item to one or more object descriptors each representing an object for locating within the content item to locate instances of one or more of the objects in the content item. The instructions are further executable to generate metadata for each object located in the video content item, and to receive a validating user input related to whether the metadata generated for a selected object is correct.

Abstract: A unified fresh search result serving approach that employs instant cache update. The instant result cache update efficiently updates the cache server instantly with the latest version of results in time. A unified cache service stores all related documents; thus, all information of a web document is saved on the same server to easily merge all the related information of web documents when generating captions for that document. Any update to web document content is immediately available in the result.

Abstract: A multiple bitrate (MBR) video encoding management tool utilizes available processing units for parallel MBR video encoding. Instead of focusing only on multi-threading of encoding tasks for a single picture or group of pictures (GOP), the management tool parallelizes the encoding of multiple GOPs between different processing units and/or different computing systems. With this parallel MBR video encoding architecture, different GOPs can be encoded in parallel. To facilitate such parallel encoding, data dependencies between GOPs are removed. The management tool can adjust the number of GOPs to encode in parallel on a computing system so as to favor parallelism of encoding for different GOPs at the expense of parallelism of encoding inside a GOP, or vice versa, and thereby set a suitable balance between encoding latency and throughput.

Abstract: Various examples are disclosed herein that relate to staged element classification. For example, one disclosed example provides a method of classifying elements by forming elements for classification into a plurality of first-level sets in a first stage, generating primary groups within the first-level sets based on element similarity, forming a plurality of second-level sets from the first-level sets in a second stage, generating secondary groups within the second-level sets based on element similarity, and merging a plurality of the primary and/or secondary groups based on element similarity.

Abstract: The subject disclosure relates to face recognition in video. Face detection data in frames of input data are used to generate face galleries, which are labeled and used in recognizing faces throughout the video. Metadata that associates the video frame and the face are generated and maintained for subsequent identification. Faces other than those found by face detection may be found by face tracking, in which facial landmarks found by the face detection are used to track a face over previous and/or subsequent video frames. Once generated, the maintained metadata may be accessed to efficiently determine the identity of a person corresponding to a viewer-selected face.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded bit rate to vary subject to a peak bit rate and average bit rate constraints for higher quality streams, while a bottom bit rate stream is encoded to achieve a constant chunk rate. The video encoding system also dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming.

Abstract: A video encoder uses previously calculated motion information for inter frame coding to achieve faster computation speed for video compression. In a multi bit rate application, motion information produced by motion estimation for inter frame coding of a compressed video bit stream at one bit rate is passed on to a subsequent encoding of the video at a lower bit rate. The video encoder chooses to use the previously calculated motion information for inter frame coding at the lower bit rate if the video resolution is unchanged. A multi core motion information pre-calculation produces motion information prior to encoding by dividing motion estimation of each inter frame to separate CPU cores.

Abstract: Various examples are disclosed herein that relate to staged element classification. For example, one disclosed example provides a method of classifying elements by forming elements for classification into a plurality of first-level sets in a first stage, generating primary groups within the first-level sets based on element similarity, forming a plurality of second-level sets from the first-level sets in a second stage, generating secondary groups within the second-level sets based on element similarity, and merging a plurality of the primary and/or secondary groups based on element similarity.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded resolution to vary based, at least in part, on motion complexity. The video encoding system dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming. Motion complexity may be considered separately, or along with spatial complexity, in making the resolution decision.

Abstract: Various embodiments related to the generation and provision of media metadata are disclosed. For example, one disclosed embodiment provides a computing device having a logic subsystem configured to execute instructions, and a data holding subsystem comprising instructions stored thereon that are executable by the processor to receive an input of a video and/or audio content item, and to compare the content item to one or more object descriptors each representing an object for locating within the content item to locate instances of one or more of the objects in the content item. The instructions are further executable to generate metadata for each object located in the video content item, and to receive a validating user input related to whether the metadata generated for a selected object is correct.

Abstract: The subject disclosure relates to face recognition in video. Face detection data in frames of input data are used to generate face galleries, which are labeled and used in recognizing faces throughout the video. Metadata that associates the video frame and the face are generated and maintained for subsequent identification. Faces other than those found by face detection may be found by face tracking, in which facial landmarks found by the face detection are used to track a face over previous and/or subsequent video frames. Once generated, the maintained metadata may be accessed to efficiently determine the identity of a person corresponding to a viewer-selected face.

Abstract: A multiple bitrate (MBR) video encoding management tool utilizes available processing units for parallel MBR video encoding. For example, instead of focusing only on multi-threading of encoding tasks for a single picture or group of pictures (GOP), the management tool parallelizes the encoding of multiple GOPs between different processing units and/or different computing systems. With this parallel MBR video encoding architecture, different GOPs can be encoded in parallel. To facilitate such parallel encoding, data dependencies between GOPs are removed. The management tool can adjust the number of GOPs to encode in parallel on a computing system so as to favor parallelism of encoding for different GOPs at the expense of parallelism of encoding inside a GOP, or vice versa, and thereby set a suitable balance between encoding latency and throughput.

Abstract: A device for dynamically extracting and compressing information for a streaming media asset is provided. One embodiment of the device provides a computing device comprising a processor and memory comprising instructions stored therein that are executable by the processor. The instructions stored in the memory are executable to provide to a requesting computing device dynamically compressed information for a streaming media asset, the dynamically compressed information derived from an information file comprising variable data elements arranged in one or more data fields according to a well-known structure. For example, the instructions are executable to receive from the requesting computing device a request for the compressed information, extract the variable data elements from the information file, compress the variable data elements to form compressed data elements, and send to the requesting computing device a compressed file comprising the compressed data elements.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded resolution to vary based, at least in part, on motion complexity. The video encoding system dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming. Motion complexity may be considered separately, or along with spatial complexity, in making the resolution decision.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded bit rate to vary subject to a peak bit rate and average bit rate constraints for higher quality streams, while a bottom bit rate stream is encoded to achieve a constant chunk rate. The video encoding system also dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming.

Abstract: A video encoder uses previously calculated motion information for inter frame coding to achieve faster computation speed for video compression. In a multi bit rate application, motion information produced by motion estimation for inter frame coding of a compressed video bit stream at one bit rate is passed on to a subsequent encoding of the video at a lower bit rate. The video encoder chooses to use the previously calculated motion information for inter frame coding at the lower bit rate if the video resolution is unchanged. A multi core motion information pre-calculation produces motion information prior to encoding by dividing motion estimation of each inter frame to separate CPU cores.

Abstract: Image processing in mobile devices is optimized by combining at least two of the color conversion, rotation, and scaling operations. Received images, such as still images or frames of video stream, are subjected to a combined transformation after decoding, where each pixel is color converted (e.g. from YUV to RGB), rotated, and scaled as needed. By combining two or three of the processes into one, read/write operations consuming significant processing and memory resources are reduced enabling processing of higher resolution images and/or power and processing resource savings.

Abstract: Image processing in mobile devices is optimized by combining at least two of the color conversion, rotation, and scaling operations. Received images, such as still images or frames of video stream, are subjected to a combined transformation after decoding, where each pixel is color converted (e.g. from YUV to RGB), rotated, and scaled as needed. By combining two or three of the processes into one, read/write operations consuming significant processing and memory resources are reduced enabling processing of higher resolution images and/or power and processing resource savings.