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Integrating complementary features from multiple channels is expected to solve the description ambiguity problem in video captioning, whereas inappropriate fusion strategies often harm rather than help the performance. Existing static fusion methods in video captioning such as concatenation and summation cannot attend to appropriate feature channels, thus fail to adaptively support the recognition...
Surveillance video privacy protection has drawn significant attention recently. In this paper, we describe a privacy protected video surveillance system which utilizes the emerging compressive sensing (CS) theory. Privacy regions are scrambled through block based CS sampling on quantized coefficients during compression. Security is ensured by key controlled chaotic sequence which is used to construct...
Scrambling is widely used to protect privacy in surveillance video. However, as a critical issue in privacy protected video scrambling, drift error has not been adequately studied. In this paper, we focus on drift error prevention for different elements scrambling in privacy protected H.264/AVC video, which is the prevailing coding standard. A restricted coding scheme is proposed to prevent drift...
The paper originally presents a confusion network based framework for video OCR post-processing. The framework consists of four parts: selection of reference and hypotheses, construction of confusion network, decoding for final output, and a novel metric of quantitatively evaluating Video OCR post-processing approaches. By integrating both visual and textual information, we construct the character...
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