His primary areas of investigation include Computer vision, Artificial intelligence, Algorithm, Computer network and Data compression. His Monte Carlo localization research extends to the thematically linked field of Computer vision. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Pattern recognition and Laser scanning.
His Algorithm study integrates concerns from other disciplines, such as Aerial image, Mathematical optimization, Computer graphics and Optical proximity correction. His work deals with themes such as Real-time computing and Communication channel, which intersect with Computer network. His work on Context-adaptive binary arithmetic coding as part of general Data compression study is frequently linked to Video quality, therefore connecting diverse disciplines of science.
Avideh Zakhor mainly investigates Artificial intelligence, Computer vision, Algorithm, Data compression and Computer network. The study incorporates disciplines such as Lidar and Pattern recognition in addition to Artificial intelligence. His study connects Computer graphics and Computer vision.
His study looks at the intersection of Algorithm and topics like Discrete cosine transform with Matching pursuit. In Data compression, Avideh Zakhor works on issues like Motion compensation, which are connected to Block-matching algorithm. His Computer network research incorporates elements of Real-time computing, Throughput and Communication channel.
His primary areas of study are Artificial intelligence, Computer vision, Point cloud, Lidar and Floor plan. His Artificial intelligence study which covers Machine learning that intersects with Turing machine. Avideh Zakhor interconnects Pipeline and Computer graphics in the investigation of issues within Computer vision.
His work in the fields of Computer graphics, such as 3D modeling and Computer graphics, intersects with other areas such as Field. His Point cloud research incorporates themes from Image sensor, Structured light and Motion capture. His work focuses on many connections between Floor plan and other disciplines, such as Building model, that overlap with his field of interest in Real-time computing and Computational science.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Floor plan, Computer graphics and Segmentation. Avideh Zakhor regularly links together related areas like Polygon mesh in his Artificial intelligence studies. Many of his studies on Computer vision involve topics that are commonly interrelated, such as Mobile device.
His work carried out in the field of Floor plan brings together such families of science as Simultaneous localization and mapping, Grid, Building model and Mobile mapping. His studies deal with areas such as Feature, Polygon, Reduction, Object and Octree as well as Computer graphics. The various areas that he examines in his Segmentation study include Satellite imagery, Image processing, Constant false alarm rate, Shadow and Line segment.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Multirate 3-D subband coding of video
D. Taubman;A. Zakhor.
IEEE Transactions on Image Processing (1994)
Iterative procedures for reduction of blocking effects in transform image coding
IEEE Transactions on Circuits and Systems for Video Technology (1992)
Real-time Internet video using error resilient scalable compression and TCP-friendly transport protocol
Wai-Tian Tan;A. Zakhor.
IEEE Transactions on Multimedia (1999)
Applications of video-content analysis and retrieval
N. Dimitrova;Hong-Jiang Zhang;B. Shahraray;I. Sezan.
IEEE MultiMedia (2002)
Very low bit-rate video coding based on matching pursuits
R. Neff;A. Zakhor.
IEEE Transactions on Circuits and Systems for Video Technology (1997)
Fast optical and process proximity correction algorithms for integrated circuit manufacturing
Nicolas Bailey Cobb;Avideh Zakhor.
Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images
Christian Frueh;Siddharth Jain;Avideh Zakhor.
International Journal of Computer Vision (2005)
An optimization approach for removing blocking effects in transform coding
S. Minami;A. Zakhor.
IEEE Transactions on Circuits and Systems for Video Technology (1995)
Efficient video similarity measurement with video signature
S.-S. Cheung;A. Zakhor.
IEEE Transactions on Circuits and Systems for Video Technology (2003)
An Automated Method for Large-Scale, Ground-Based City Model Acquisition
Christian Früh;Avideh Zakhor.
International Journal of Computer Vision (2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: