Digital Media Indexing on the Cell Processor

We present a case study of developing a digital media indexing application, code-named MARVEL, on the STI Cell Broadband Engine (CBE) processor. There are two aspects of the target application that require significant computing power: image analysis for feature extraction, and Support Vector Machine (SVM) based pattern classification for concept detection. We discuss the challenges of mapping a large application like MARVEL onto a multicore processor, and show how feature extraction and concept detection can be implemented on the CBE. We discuss how the synergistic processing units of a CBE can be used to gain dramatic performance improvements. The empirical results of our experiments, conducted on a Cell blade running at 2.4 GHz, show that the CBE provides a significant performance speed-up in our digital media indexing application.

• Type: Conference
• Year: 2007
• Where: ICMCS
• Authors: Lurng-Kuo Liu, Qiang Liu, Apostol Natsev, Kenneth A. Ross, John R. Smith, Ana Lucia Varbanescu
• Keywords: Digital Media Indexing, Feature Extraction, ICMCS 2007, Media Indexing Application