## Abstract This paper presents a new CNN‐based architecture for real‐time video coding applications. The proposed approach, by exploiting object‐oriented CNN algorithms and MPEG encoding capabilities, enables low bit‐rate encoder/decoder to be designed. Simulation results using Claire video sequen
A Tree Matching Algorithm and VLSI Architecture for Real-Time 2D Object Classification
✍ Scribed by M. Schaffer; T. Chen
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 77 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1077-2014
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✦ Synopsis
A Tree Matching Algorithm and VLSI Architecture for Real-Time 2D Object Classification
his paper presents a real-time classification algorithm for two-dimensional (2D) object contours using a tree model which is implemented in a modular very large scale integration (VLSI) Tar chitecture. The hardware implementation takes advantage of pipelining, parallelism, and the speed of VLSI technology to perform real-time object classification. Using the multiresolution tree model, the classification algorithm is invariant under 2D similarity transformations and recognizes the visible portions of occluded objects. The VLSI classification system is implemented in 0.8 mm CMOS and is capable of performing 34 000 matchings per second.
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