• United States [ change ]
    • About Kodak

    E-mailEmail

    close

    We're pleased that you want to share this information. To send a link to this page, fill in the information below. The e-mail will show you as the sender and will show your return address.

    * indicates required information

    * Recipient E-mail:

    Each address entered must be valid.
    (Separate multiple email addresses with commas. Limited to 5 addresses.)

    * Your Name Here:

    Enter your name.

    * Your E-mail:

    Enter a valid address.

    send a copy to me
    Note: You are not adding recipient email addresses to any promotional email list.

    Sending...
    Sent!
    Send failed. Please try again later.

    Video Analysis & Motion Processing

     
    Video Analysis

    Video Analysis and Motion Processing involve the collection and processing of information from sequences of digital images. In some cases, the images represent a time sequences of video frames captured from a single camera, and the analysis and processing exploit the temporal correlation from one frame to the next in the sequence. In other cases, the images may be derived from a collection of multiple cameras capturing one or more scenes, and the processing may involve reconstructing three-dimensional scene data from the collection of two-dimensional images.

    The information gathered in a video analysis or motion processing algorithm may correspond to global descriptors of the data. Such descriptors include camera motion estimates, which may be used to identify motion such as panning or zooming, or even to detect and remove camera jitter. The information may also relate to objects in the scene, tracking their presence, size, shape, location, direction and speed of motion, and other features through the sequence of images.

    Applications involving video analysis and motion processing are numerous. Motion analysis can be used in surveillance to detect changes and abnormal events in a scene in security systems. In manufacturing, motion analysis can be used to detect inefficiencies or malfunctions in a process. In biology, video analysis can be used to track and/or count particles such as bacteria or viruses. In the consumer and entertainment domains, video analysis and motion processing can also be used for applications such as video key-frame extraction, digital video stabilization, video super-resolution, annotation and indexing, search and retrieval, enhancement and restoration, and special effects.

     

    Bibliography


    Joel Trussell and Sergei Fogel, "Identification and Restoration of Spatially Variant Motion Blurs in Sequential Images," IEEE Transactions on Image Processing, 1(1), Jan. 1992.

    Sergei Fogel, "The Estimation of Velocity Vector Fields from Time-Varying Image Sequences," CVGIP: Image Understanding, 53(3), May 1991.

    Candemir Toklu, A. Murat Tekalp, A. Tanju Erdem: Semi-automatic video object segmentation in the presence of occlusion. IEEE Trans. Circuits Syst. Video Techn. 10(4): 624-629, 2000.

    Yue Fu, A. Tanju Erdem, A. Murat Tekalp: Tracking visible boundary of objects using occlusion adaptive motion snake. IEEE Transactions on Image Processing 9(12): 2051-2060, 2000.

    Yue Fu, A. Tanju Erdem, A. Murat Tekalp: Occlusion Adaptive Motion Snake. ICIP, pp. 633-637, 1998.

    Candemir Toklu, A. Tanju Erdem, A. Murat Tekalp: Two-dimensional mesh-based mosaic representation for manipulation of video objects with occlusion. IEEE Transactions on Image Processing 9(9): 1617-1630, 2000.

    Andrew J. Patti, A. Murat Tekalp, M. Ibrahim Sezan: A new motion-compensated reduced-order model Kalman filter for space-varying restoration of progressive and interlaced video. IEEE Transactions on Image Processing 7(4): 543-554, 1998.

    P. Erhan Eren, M. Ibrahim Sezan, A. Murat Tekalp: Robust, object-based high-resolution image reconstruction from low-resolution video. IEEE Transactions on Image Processing 6(10): 1446-1451, 1997.

    Andrew J. Patti, M. Ibrahim Sezan, A. Murat Tekalp: Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time. IEEE Transactions on Image Processing 6(8): 1064-1076, 1997.

    Michael M. Chang, A. Murat Tekalp, M. Ibrahim Sezan: Simultaneous motion estimation and segmentation. IEEE Transactions on Image Processing 6(9): 1326-1333, 1997.

    Candemir Toklu, A. Tanju Erdem, M. Ibrahim Sezan, A. Murat Tekalp: Tracking Motion and Intensity Variations Using Hierarchical 2-D Mesh Modeling for Synthetic Object Transfiguration. CVGIP: Graphical Model and Image Processing 58(6): 553-573, 1996.

    Aaron Deever, "In-Camera All-Digital Video Stabilization," Western New York Image Processing Workshop, 2006.

    Aaron Deever and Efrain Morales, "Improved Low-Light Camera Performance Using Multiple Captures, International Congress of Imaging Science, 2006.

    Jiebo Luo, Phoury Lei, "Image Recomposition for Consumer Photo and Video," Proc. SPIE International Symposium on Visual Communication and Image Processing, San Jose, CA, January 2007.

    Christophe Papin, Jiebo Luo, "Intelligent Key Frame Extraction from Unstructured Consumer Video Clips," Proc. SPIE International Symposium on Visual Communication and Image Processing, San Jose, CA, January 2007.

    Shih-Fu Chang, Dan Ellis, Wei Jiang, Keansub Lee, Akira Yanagawa, Alexander C. Loui, Jiebo Luo, "Large-Scale Multimodal Semantic Concept Detection for Consumer Video," Proc. ACM Workshop on Multimedia Information Retrieval, Augsburg, Germany, September 2007.