ViPER Video Performance Evaluation Toolkit viper-toolkit.sf.net.

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Presentation transcript:

ViPER Video Performance Evaluation Toolkit viper-toolkit.sf.net

The ViPER Toolkit Unified video performance evaluation resource, including: –ViPER-GT – a Java toolkit for marking up videos with truth data. –ViPER-PE – a command line tool for comparing truth data to result data. –A set of scripts for running several sets of results with different options and generating graphs.

The Video Performance Evaluation Resource Ground Truth Editor Performance Evaluation Tool Truth Data Video Analysis Algorithm Result Data Schema Mapping MetricsFilters Evaluation Results Video Analysis Algorithm Result Data Video Analysis Algorithm Result Data

ViPER Ground Truth Editing viper-toolkit.sf.net

Ground Truth Editing

Lets the user specify the task and the interpretation. Improved (Verson 4) –Schema editor. –Timeline view. –Supports undo/redo. –New video annotation widget. –MPEG-2 support.

Latest Version in Series

Time Line View Provides summary of ground truth. Direct manipulation across frames. Feedback for indirect manipulation.

Time Line View Provides summary of ground truth. Direct manipulation. –Quick editing of activities, events, and other CONTENT descriptors. –Some ability to modify descriptors with dynamic attributes directly, if not the attribute values. Feedback for indirect manipulation. –Easier to notice massive changes.

Enhanced Keyboard Editing Support for real-time mark-up of events and activities. –Keys for creating and deleting activities. –Keys for controlling rate of display (jog dials). Enhance mark-up of spatial data. –Keys for creating, editing of a single descriptor's attribute. Overall attempt to minimize effort in a GOMS model. –Mouse events unnecessary except for polygon editing.

Frame View

Schema Editor

ViPER File Format Represents data as set of descriptors, which the user defines in a schema. –Each descriptor has a set of attributes, which may take on different values over the file. –Like a temporally qualified relational database for each media file, where each row is an instance of a descriptor.

ViPER File Format: Descriptors Descriptor Types –FILE (Video Level Information) –CONTENT (descriptors of the scene) Static attribute values Single instance of one type for any frame –OBJECT (descriptors of instances, including events) Attributes are dynamic by default Multiple instances can exist at a single frame.

Attributes Attribute Types: –Strings, numbers, booleans, and enumerations –Shape types, including bounding boxes and polygons –Relations (Foreign keys)

Demonstration

ViPER-GT Internals ViPER-GT: A Video Ground Truth Annotation Tool Schema Editor ViPER Metadata API Pure Java MPEG Decoder AppLoader Plug-In Manager Jena Core GT API Plug-Ins Native Decoders: VirtualDub QuickTime JMF

VideoAnnEx –IBM AlphaWorks MPEG-7 Editor OntoLog (OWL) –Jon Heggland’s RDF Video Ontology Editor Informedia –CMU Digital Video Library PhotoStuff –Still image annotation for the semantic web ANVIL Any one-off tool a developer has created to test their stuff