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The following topics are dealt with: image processing; content understanding; encoding; H.264; VLSI system-on-chip integrated multimedia systems; media signal processing; forensic analysis; P2P multimedia streaming; mobile networks; digital watermarking, data hiding and steganography; multi-user collaboration and cross layer optimization in wireless; audio and speech processing; QoS; face detection;...
3D video, which consists of a sequence of 3D mesh models, can provide detailed 3D information both in spatial and temporal domain. In this paper, a key frame extraction method has been developed to summarize 3D video by rate-distortion optimization. For this purpose, we introduce an effective feature vector extraction algorithm from 3D video. Prior to key frame extraction, shot detection is performed...
Feature sets are broadly discussed within speech emotion recognition by acoustic analysis. While popular filter and wrapper based search help to retrieve relevant ones, we feel that automatic generation of such allows for more flexibility throughout search. The basis is formed by dynamic low-level descriptors considering intonation, intensity, formants, spectral information and others. Next, systematic...
A method has been developed to identify video shots of the same scene where camera flash lights are observed, and the method has been tested by using it to detect such shots from a large TV video archive. Camera flashes are often used in impressive scenes, such as interviews of important persons. Because such scenes are broadcasted repeatedly on various TV programs, a method for detecting them is...
Detecting the presence of musical sounds in broadcast audio is important for content-based indexing and retrieval of auditory and visual information in radio and TV programs. In this paper, we propose a novel approach for musical sounds detection in broadcast audio based on the analysis of the characteristic feature of musical tones, pitch tuning. A spectral analysis method is presented for detecting...
In the near future, the majority of personal computers are expected to have several processing units. This is referred to as core multiprocessing (CMP). Furthermore, each of the computation units will be capable of running multiple hardware threads. To benefit from the additional processing power, application developers should multithread their software. This paper studies the scalability (expected...
As digital video data becomes more pervasive, mining information from multimedia data becomes increasingly important. Although researches in multimedia mining area have shown great potential in daily life, the huge computational requirement prohibits its wide use in practice. Since our personal computer is shifting from uniprocessors to multicore processors, exploiting thread level parallelism in...
Numerous approaches can be employed in exploiting computation power in processors such as superscalar, VLIW, SMT and multi-core on chip. In this paper, a UniCore VisoMT processor is proposed, which unifies VLIW and multithreading by providing an efficient control and data communication model, while offering explicit parallelisms for embedded applications. The architecture concurrently executes a main...
With increased concern for physical security, video surveillance is becoming an important business area. Similar camera-based system can also be used in such diverse applications as retail-store shopper motion analysis and casino behavioral policy monitoring. There are two aspects of video surveillance that require significant computing power: image analysis for detecting objects, and video compression...
The main focus of this paper is to present a methodology for optimizing relevance identification in content-based image retrieval (CBIR) systems through the principle of feature weight detection. The purpose of relevance identification is to find a collection of images that are statistically similar to, or match with, an original query image within a large visual database. The novelty of this scheme...
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