Rainer Lienhart mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Information retrieval and Video processing. His Artificial intelligence study frequently links to related topics such as Hit rate. His study in the fields of Image processing, Motion, Optical character recognition and Segmentation under the domain of Computer vision overlaps with other disciplines such as Boundary detection.
His studies in Pattern recognition integrate themes in fields like Cognitive neuroscience of visual object recognition, Machine learning, Scalability and Image retrieval. His Object detection research incorporates themes from Contextual image classification, Constant false alarm rate and Face detection. His work investigates the relationship between Constant false alarm rate and topics such as Facial recognition system that intersect with problems in Feature and Feature extraction.
Artificial intelligence, Computer vision, Pattern recognition, Multimedia and Feature are his primary areas of study. Artificial intelligence is closely attributed to Machine learning in his study. Rainer Lienhart combines subjects such as Event and Frame with his study of Computer vision.
His research investigates the connection between Pattern recognition and topics such as Probabilistic latent semantic analysis that intersect with issues in Scale-invariant feature transform. His Feature research is multidisciplinary, incorporating elements of Object and Data mining. His Object detection study combines topics in areas such as Viola–Jones object detection framework and Constant false alarm rate.
Rainer Lienhart mainly focuses on Artificial intelligence, Computer vision, Multimedia, Natural language processing and Pose. His research on Artificial intelligence often connects related areas such as Pattern recognition. His Pattern recognition research is multidisciplinary, relying on both Representation and Projection.
His Computer vision research includes elements of Frame, Translation and Task. His work deals with themes such as Field and Session, which intersect with Multimedia. His Natural language processing study integrates concerns from other disciplines, such as Word, X ray image and Focus.
Rainer Lienhart spends much of his time researching Artificial intelligence, Computer vision, Deep learning, Natural language processing and Closed captioning. His Artificial intelligence research includes themes of Frame and Focus. His work on Kernel and Image resolution as part of general Computer vision research is often related to Baseline and Aquatic environment, thus linking different fields of science.
His Deep learning study combines topics from a wide range of disciplines, such as Calibration, Ground truth, Moment and Mean squared error. His Closed captioning research is multidisciplinary, incorporating perspectives in Question answering and Multimedia. Rainer Lienhart has included themes like Partition and Measure in his Pattern recognition study.
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An extended set of Haar-like features for rapid object detection
R. Lienhart;J. Maydt.
international conference on image processing (2002)
Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection
Rainer Lienhart;Alexander Kuranov;Vadim Pisarevsky.
joint pattern recognition symposium (2003)
Comparison of automatic shot boundary detection algorithms
Rainer W. Lienhart.
Storage and Retrieval for Image and Video Databases (1998)
Localizing and segmenting text in images and videos
R. Lienhart;A. Wernicke.
IEEE Transactions on Circuits and Systems for Video Technology (2002)
Rainer Lienhart;Silvia Pfeiffer;Wolfgang Effelsberg.
Communications of The ACM (1997)
On the detection and recognition of television commercials
R. Lienhart;C. Kuhmunch;W. Effelsberg.
international conference on multimedia computing and systems (1997)
Reliable Transition Detection In Videos : A Survey and Practitioner's Guide
International Journal of Image and Graphics (2001)
Automatic text recognition in digital videos
Rainer Lienhart;Frank Stuber.
Electronic Imaging: Science and Technology (1995)
Video detection and insertion
Richard König;Charles Eldering;Rainer Lienhart;Christine Lienhart.
Abstracting Digital Movies Automatically
Silvia Pfeiffer;Rainer Lienhart;Stephan Fischer;Wolfgang Effelsberg.
Journal of Visual Communication and Image Representation (1996)
Profile was last updated on December 6th, 2021.
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