Apparatus, methods and systems of object recognition are disclosed. Embodiments of the inventive subject matter generates map-altered image data according to an object-specific metric map, derives a metric-based descriptor set by executing an image analysis algorithm on the map-altered image data, and retrieves digital content associated with a target object as a function of the metric-based descriptor set.

A computing device including a color spectrum detector, a memory, a processor, a database and computer-readable instructions, stored in the memory, fetched from the memory and executed by the processor. The color spectrum detector to detect a change in a color spectrum over a specified period of time and to generate a signal representative of color spectrum change and the database housing digital media files. The computer-readable instructions executed by the processor to receive the signal representative of the color change, generate a value indicator based at least in part on the received color spectrum change, selected one or more digital media files from the database having a selection indicator corresponding to the value indicator representative of the color spectrum change and retrieve the one or more selected digital media files.

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.

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.

Systems and methods of automatically extracting summaries of video content are described herein. A data processing system can access, from a video database, a first video content element including a first plurality of frame. The data processing system can select an intervallic subset of the first plurality of frames of the first video content element. The data processing system can calculate, for each of a plurality of further subsets comprising a predetermined number of frames from the intervallic subset, a score for the further subset. The data processing system can identify, from the plurality of further subsets, a further subset having a highest score. The data processing system can select a portion of the first video content element comprising the frames of the further subset having the highest score. The data processing system can generate a second video content element comprising the selected portion of the first video content element.

Methods, systems, and media for detecting a presentation of media content on a display device are provided. In accordance with some implementations, methods for detecting a presentation of media content on a display device are provided, the methods comprising: detecting, using a light sensor, light levels in the light sensor's surroundings; generating a signal representing the light levels; detecting, using a hardware processor, at least one variation in light levels indicative of a presentation of a video scene based on the signal; detecting at least one variation in light levels indicative of a scene change subsequent to the video scene based on the signal; and determining that media content is being presented on a display device in response to detecting the variation in light levels indicative of the presentation of the video scene and the variation in light levels indicative of the scene change.

In one embodiment, a system comprises a processor to retrieve a first data element including a value X.sub.0 and Y.sub.0, provide a hash function for use with a hash table having buckets, the hash function having a first and second input that in combination map to one of the buckets wherein the first input is in a range of X-values having X-value sub-ranges, the second input is in a range of Y-values having Y-value sub-ranges, different combinations of the X-value sub-ranges and the Y-value sub-ranges map using the hash function to different buckets, and input the value X.sub.0 and Y.sub.0 into the hash function yielding an output which is indicative of a first bucket of the hash-table. Related apparatus and methods are also described.

Methods, systems, and media for detecting a presentation of media content on a display device are provided. In accordance with some implementations, methods for detecting a presentation of media content on a display device are provided, the methods comprising: detecting, using a light sensor, light levels in the light sensor's surroundings; generating a signal representing the light levels; detecting, using a hardware processor, at least one variation in light levels indicative of a presentation of a video scene based on the signal; detecting at least one variation in light levels indicative of a scene change subsequent to the video scene based on the signal; and determining that media content is being presented on a display device in response to detecting the variation in light levels indicative of the presentation of the video scene and the variation in light levels indicative of the scene change.

Apparatus, methods and systems of object recognition are disclosed. Embodiments of the inventive subject matter generates map-altered image data according to an object-specific metric map, derives a metric-based descriptor set by executing an image analysis algorithm on the map-altered image data, and retrieves digital content associated with a target object as a function of the metric-based descriptor set.

A processor receives a first list comprising a plurality of events from a portion of digital data of an unknown work and one or more metrics between each pair of adjacent events from the plurality of events. The processor compares the first list to a second list comprising events and metrics between events for a known work to determine a first quantity of hits and a second quantity of misses. The processor determines whether the first list matches the second list based on the first quantity of hits and the second quantity of misses. The processor determines that the unknown work is a copy of the known work responsive to determining that the first list matches the second list.