The dual-core environment is more and more popular in embedded system recently. The limited buffer and limited bandwidth are critical for parallel algorithm in embedded system. This paper proposes a novel parallel algorithm using functional partitioning with dynamic load balance for video decoder. The video decoding flow of each macroblock is dynamically separated for different cores according to the buffer queue level. The extra intercommunication buffer size requires only 1.6% buffer size of traditional data partitioning algorithm for 720p decoder. The speed-up ratio is 1.74 times in average compared to original single thread code. The experiment result shows the proposed algorithm can real-time decode H.264 720p high profile on ARM Cortex-A9 400MHz dual-core system.

Summary: A web-based three-dimensional (3D) protein retrieval system is available for protein structure data including all PDB and FSSP dataset. In this system, we use a visual-based matching method to compare the protein structure from multiple viewpoints. It takes less than three seconds for each query with 90% accuracy on an average. Availability: The web-based query interface and downloadable files can be accessed via http://3d.csie.ntu.edu.tw/ProteinRetrieval/ Contact: [email protected] Supplementary information: Further details of the proposed method are available at http://graphics.csie.ntu.edu.tw/~jsyeh/3Dprotein/

Abstract A large number of 3D models are created and available on the Web, since more and more 3D modelling anddigitizing tools are developed for ever increasing applications. The techniques for content‐based 3D model retrievalthen become necessary. In this paper, a visual similarity‐based 3D model retrieval system is proposed.This approach measures the similarity among 3D models by visual similarity, and the main idea is that if two 3Dmodels are similar, they also look similar from all viewing angles. Therefore, one hundred orthogonal projectionsof an object, excluding symmetry, are encoded both by Zernike moments and Fourier descriptors as features forlater retrieval. The visual similarity‐based approach is robust against similarity transformation, noise, model degeneracyetc., and provides 42%, 94% and 25% better performance (precision‐recall evaluation diagram) thanthree other competing approaches: (1) the spherical harmonics approach developed by Funkhouser et al., (2) theMPEG‐7 Shape 3D descriptors, and (3) the MPEG‐7 Multiple View Descriptor. The proposed system is on the Webfor practical trial use ( http://3d.csie.ntu.edu.tw ), and the database contains more than 10,000 publicly available3D models collected from WWW pages. Furthermore, a user friendly interface is provided to retrieve 3D modelsby drawing 2D shapes. The retrieval is fast enough on a server with Pentium IV 2.4 GHz CPU, and it takes about2 seconds and 0.1 seconds for querying directly by a 3D model and by hand drawn 2D shapes, respectively. Categories and Subject Descriptors (according to ACM CCS): H.3.1 [Information Storage and Retrieval]: Indexing Methods