Abstract: There are provided systems and methods for performing metadata extraction and management. Such a system includes a computing platform having a hardware processor, a system memory, and metadata extraction and management unit stored in the system memory. The system is configured to extract multiple metadata types from a media asset, and to aggregate the multiple metadata types to produce an aggregated metadata describing the media asset. The system is further configured to transform the aggregated metadata into at least one database entry identifying the media asset, and to map the at least one database entry into a graphical database so as to relate the media asset to at least one other media asset represented in the graphical database.

Abstract: There is provided a system including a memory and a processor configured to obtain a first frame of a video content including an object and a first region based on a segmentation hierarchy of the first frame, insert a synthetic object into the first frame, merge an object segmentation hierarchy of the synthetic object with the segmentation hierarchy of the first frame to create a merged segmentation hierarchy, select a second region based on the merged segmentation hierarchy, provide the first frame including the first region and the second region to a crowd user for creating a corrected frame, receive the corrected frame from the crowd user including a first corrected region including the object and a second corrected region including the synthetic object, determine a quality based on the synthetic object and the second corrected region, and accept the first corrected region based on the quality.

Abstract: There are provided systems and methods for performing metadata extraction and management. Such a system includes a computing platform having a hardware processor, a system memory, and metadata extraction and management unit stored in the system memory. The system is configured to extract multiple metadata types from a media asset, and to aggregate the multiple metadata types to produce an aggregated metadata describing the media asset. The system is further configured to transform the aggregated metadata into at least one database entry identifying the media asset, and to map the at least one database entry into a graphical database so as to relate the media asset to at least one other media asset represented in the graphical database.

Abstract: A storyboard interface displaying key frames of a video may be presented to a user. Individual key frames may represent individual shots of the video. Shots may be grouped based on similarity. Key frames may be displayed in a chronological order of the corresponding shots. Key frames of grouped shots may be spatially correlated within the storyboard interface. For example, shots of a common group may be spatially correlated so that they may be easily discernable as a group even though the shots may not be temporally consecutive and/or or even temporally close to each other in the timeframe of the video itself.

Abstract: A storyboard interface displaying key frames of a video may be presented to a user. Individual key frames may represent individual shots of the video. Shots may be grouped based on similarity. Key frames may be displayed in a chronological order of the corresponding shots. Key frames of grouped shots may be spatially correlated within the storyboard interface. For example, shots of a common group may be spatially correlated so that they may be easily discernable as a group even though the shots may not be temporally consecutive and/or or even temporally close to each other in the timeframe of the video itself.

Abstract: A storyboard interface displaying key frames of a video may be presented to a user. Individual key frames may represent individual shots of the video. Shots may be grouped based on similarity. Key frames may be displayed in a chronological order of the corresponding shots. Key frames of grouped shots may be spatially correlated within the storyboard interface. For example, shots of a common group may be spatially correlated so that they may be easily discernable as a group even though the shots may not be temporally consecutive and/or or even temporally close to each other in the timeframe of the video itself.