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Interactive inquiry for object of interest in video playback by motion-augmented graph cut

Published: 25 October 2010 Publication History

Abstract

The touch-based displays (devices) have entailed rich interactions between the videos and users. The objects appearing in videos usually interest users in wanting to know relative knowledge about them. In this paper, we proposed a video playback system for users to interactively query objects of interest in videos. Since the text information accompanied with videos might not be strongly related to the object of interest, we adopt visual appearances as features to retrieve similar objects from large image collections. The tags associated with the retrieved images are used to reveal related information of the object of interest for further exploiting related knowledge. Solely relying on single viewpoint of the object to query may suffer from different poses, occlusions and is not robust. So we present a novel video object segmentation approach to improve retrieval precision. The approach is based on a 3D graph cut framework. To ensure prompt response and effectiveness, we augment the algorithm with compressed-domain motion vectors; compared with the prior method, the processing speed of our approach is significantly faster. The experiments on community-contributed videos demonstrate the effectiveness of our approach based on multi-frame object region query and the improvement of retrieval precision.

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Cited By

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  • (2019)The Improved SIFT Algorithm Based on Rectangular Operator and Its Parallel ImplementationJournal of Information Technology Research10.4018/JITR.201901010112:1(1-17)Online publication date: Jan-2019
  • (2016)Parallelizing image feature extraction algorithms on multi-core platformsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2016.03.00192:C(1-14)Online publication date: 1-May-2016
  • (2012)Adaptive Pipeline Parallelism for Image Feature Extraction AlgorithmsProceedings of the 2012 41st International Conference on Parallel Processing10.1109/ICPP.2012.14(299-308)Online publication date: 10-Sep-2012

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  1. Interactive inquiry for object of interest in video playback by motion-augmented graph cut

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    cover image ACM Conferences
    MM '10: Proceedings of the 18th ACM international conference on Multimedia
    October 2010
    1836 pages
    ISBN:9781605589336
    DOI:10.1145/1873951
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 25 October 2010

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    Author Tags

    1. image retrieval
    2. motion vector
    3. video object segmentation

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    MM '10
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    MM '10: ACM Multimedia Conference
    October 25 - 29, 2010
    Firenze, Italy

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    View all
    • (2019)The Improved SIFT Algorithm Based on Rectangular Operator and Its Parallel ImplementationJournal of Information Technology Research10.4018/JITR.201901010112:1(1-17)Online publication date: Jan-2019
    • (2016)Parallelizing image feature extraction algorithms on multi-core platformsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2016.03.00192:C(1-14)Online publication date: 1-May-2016
    • (2012)Adaptive Pipeline Parallelism for Image Feature Extraction AlgorithmsProceedings of the 2012 41st International Conference on Parallel Processing10.1109/ICPP.2012.14(299-308)Online publication date: 10-Sep-2012

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