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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Vision And Scene Understanding (I.2.10) > Video Analysis (I.2.10...)  
  1-10 of 40 Reviews about "Video Analysis (I.2.10...)": Date Reviewed
  Opinion question answering by sentiment clip localization
Pang L., Ngo C.  ACM Transactions on Multimedia Computing, Communications, and Applications 12(2): 1-19, 2015. Type: Article

This application of artificial intelligence (AI) demonstrates two things: the astonishing types of questions algorithms can answer today, and (implicitly) what challenges and limitations we currently still face despite the current renewed hype in ...

Apr 12 2016
  Machine learning for audio, image and video analysis: theory and applications (2nd ed.)
Camastra F., Vinciarelli A.,  Springer Publishing Company, Incorporated, New York, NY, 2015. 561 pp. Type: Book (978-1-447167-34-1)

Machine learning and big data are all the craze these days, seen as key technologies to handle the deluge of data expected to flow from the upcoming Internet of Things (IoT). Multimedia information, transmitted by video encoders or still cameras, ...

Feb 18 2016
  Measuring crowd collectiveness
Zhou B., Tang X., Zhang H., Wang X.  IEEE Transactions on Pattern Analysis and Machine Intelligence 36(8): 1586-1599, 2014. Type: Article

Determination of the degree of individuals acting as a union in collective motions is an interesting research topic, while defining and quantifying such a structure and its motion is a challenging task. This paper proposes a method for such an eff...

Dec 14 2015
   TouchCut: fast image and video segmentation using single-touch interaction
Wang T., Han B., Collomosse J.  Computer Vision and Image Understanding 12014-30, 2014. Type: Article

Have you ever used the magic wand tool in Photoshop? If so, it accomplishes 90 percent of the work described in this paper. The only difference is that this work uses finger touch instead of a mouse click, thanks to the prevailing touchscreen tech...

Jun 9 2015
  Gestures that people can understand and use
Ardito C., Costabile M., Jetter H.  Journal of Visual Languages and Computing 25(5): 572-576, 2014. Type: Article

Computing devices often include sensors to track the body, limbs, hands, and fingers of a user. User interfaces rely on these capabilities to recognize gestures, and considerable energy is being devoted to the development of a core set of gestures...

Mar 26 2015
  YouTube movie reviews: sentiment analysis in an audio-visual context
Wollmer M., Weninger F., Knaup T., Schuller B., Sun C., Sagae K., Morency L.  IEEE Intelligent Systems 28(3): 46-53, 2013. Type: Article

Sentiment analysis has been an interesting research topic in recent years. Previous work has focused on generic problem settings where only textual description is available, which is essentially a natural language processing task. In terms of movi...

Mar 3 2014
  Video scene segmentation by improved visual shot coherence
Trojahn T., Goularte R.  WebMedia 2013 (Proceedings of the 19th Brazilian Symposium on Multimedia and the Web, Salvador, Brazil,  Nov 5-8, 2013) 23-30, 2013. Type: Proceedings

Video analysis has a long-standing problem that remains unsolved: how to deal with the segmentation of video into different scenes. This matter had declined in interest, but the authors of this paper bring it back into consideration in response to...

Feb 24 2014
  Nobody likes Mondays: foreground detection and behavioral patterns analysis in complex urban scenes
Zen G., Krumm J., Sebe N., Horvitz E., Kapoor A.  ARTEMIS 2013 (Proceedings of the 4th ACM/IEEE International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Stream, Barcelona, Spain,  Oct 21, 2013) 17-24, 2013. Type: Proceedings

Image streams are often analyzed in order to monitor general activities and draw statistical conclusions about behavior. This paper proposes a method for inspecting image data by distinguishing the foreground elements from the background within a ...

Feb 14 2014
  Spatially and temporally optimized video stabilization
Wang Y., Liu F., Hsu P., Lee T.  IEEE Transactions on Visualization and Computer Graphics 19(8): 1354-1361, 2013. Type: Article

When “3D reconstruction is difficult or long feature trajectories are not available,” video stabilization is quite a challenge. This paper introduces a “robust, efficient, and streamable technique” for video stabilization t...

Sep 12 2013
  Robust visual tracking using an effective appearance model based on sparse coding
Zhang S., Yao H., Sun X., Liu S.  ACM Transactions on Intelligent Systems and Technology 3(3): 1-18, 2012. Type: Article

A visual or image tracking method for videos based on sparse distributed representations described in terms of general basis functions (GBF) extracted from image patches is presented in this paper. The GBFs are extracted as features, using an algo...

Mar 25 2013
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