Abstract: The disclosure includes a system and method for decomposing a video to salient fragments and synthesizing a video composition based on the salient fragments. A computer-implemented method receives a first set of salient fragments and a first set of clusters extracted from a video, where each cluster includes related salient fragments connected by a connectivity graph. The method determines a weight associated with each of the salient fragments and each of the clusters based on an activity level associated with the respective salient fragment or cluster and determine a permissible zone of activity. The method determines a spatial-temporal distortion to be applied to each salient fragment and cluster and synthesizes a video composition based on the first set of salient fragments, the first set of clusters and non-salient portions of the video using weighted editing.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; associating a time anchor with a machine event; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; receiving a keyword; identifying a time anchor when the keyword appears in an audio track associated with the video; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; associating a time anchor with a media event; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; generating a focalized visualization, based on a time anchor, from the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization, based on the unique identifier, to generate a behavior score; and providing the behavior score via the user device.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with an utterance of a first keyword in an audio track associated with the video; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first keyword.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; generating a focalized visualization, based on a time anchor, from one or more of the plurality of salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the time anchor.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with a presentation of a first media content to a human subject; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging the human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first media content.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with an occurrence of a first machine event of a machine operated by a human subject; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging the human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first machine event.

Abstract: A system and method for determining an object or product represented in an image is disclosed. The system receives a first image, determines a region of interest in the first image, determines a classification score for the region of interest using a convolutional neural network that assigns the region of interest the classification score corresponding to a class, and identifies a first product in the first image based on the classification score.

Abstract: The disclosure includes a system and method for decomposing a video to salient fragments and synthesizing a video composition based on the salient fragments. A computer-implemented method receives a first set of salient fragments and a first set of clusters extracted from a video, where each cluster includes related salient fragments connected by a connectivity graph. The method determines a weight associated with each of the salient fragments and each of the clusters based on an activity level associated with the respective salient fragment or cluster and determine a permissible zone of activity. The method determines a spatial-temporal distortion to be applied to each salient fragment and cluster and synthesizes a video composition based on the first set of salient fragments, the first set of clusters and non-salient portions of the video using weighted editing.

Abstract: The disclosure includes a system and method for decomposing a video to salient fragments and synthesizing a video composition based on the salient fragments. A video decomposition application extracts non-salient portions of a video, extracts a plurality of salient fragments of the video, builds a database of the plurality of salient fragments, receives a query, retrieves, from the database of the plurality of salient fragments, a set of salient fragments based on the query, and synthesizes a video composition based on the set of salient fragments and the non-salient portions of the video.

Abstract: The disclosure includes a system and method for associating protection data to a video object and verifying the content and source of the video object based on the protection data. A video processing application receives, at a producer, a video object; computes, at the producer, a digital signature based on content of the first video object; adds, at the producer, identification information of the producer to the digital signature of the first video object, the producer being a source of the first video object; transmits the first video object along with the digital signature from the producer to a first consumer; and authenticates, at the first consumer, the content and source of the first video object based on the digital signature.

Abstract: The disclosure includes a system and method for distributing video segments of a video to one or more brokers based on topics and storing the video segments in a distributed commit log associated with the topics. A video processing application decomposes a video into fragments, groups the fragments into topics based on identifiers associated with the fragments, breaks the fragments into a sequence of segments, distributes the sequence of segments to one or more brokers based on the topics, and stores, by the one or more brokers, the sequence of segments associated with a topic in a distributed commit log while preserving a sequence order of the sequence of segments.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with a presentation of a first media content to a human subject; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging the human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first media content.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with an utterance of a first keyword in an audio track associated with the video; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first keyword.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with an occurrence of a first machine event of a machine operated by a human subject; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging the human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first machine event.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; generating a focalized visualization, based on a time anchor, from one or more of the plurality of salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the time anchor.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; associating a time anchor with a media event; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.

Abstract: A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; receiving a keyword; identifying a time anchor when the keyword appears in an audio track associated with the video; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.