- Virtual reality and 3D imaging
- Quality Assessment
- Haptic technology and interaction
- Hardware and software for multimedia systems
- Bio-inspired multimedia systems and signal processing
- Multimedia communications and networking
- Multimedia computing systems and applications
- Multimodal signal processing
- Multimedia security and content protection
- Multimedia human-machine interface and interaction
- Multimedia databases and digital libraries

- Read more about A Viewport-Adaptive Rate Control Approach for Omnidirectional Video Coding
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For omnidirectional videos (ODVs), the existing o-line coding approaches are designed based on the spatial or perceptual distortion in a whole ODV frame, ignoring the fact that subjects can only access viewports. To improve the subjective quality inside the viewports, this paper proposes an o-line viewport-adaptive rate control (RC) approach for ODVs in high eciency video coding (HEVC) framework. Specically, we predict the viewport candidates with importance weights and develop a viewport saliency detection model.
DCC21.pptx

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- Read more about Complexity Analysis Of Next-Generation VVC Encoding and Decoding
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While the next generation video compression standard, Versatile Video Coding (VVC), provides a superior compression efficiency, its computational complexity dramatically increases. This paper thoroughly analyzes this complexity for both encoder and decoder of VVC Test Model 6, by quantifying the complexity break-down for each coding tool and measuring the complexity and memory requirements for VVC encoding/decoding.
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- Read more about Automatic identification of speakers from head gestures in a narration
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In this work, we focus on quantifying speaker identity information encoded in the head gestures of speakers, while they narrate a story. We hypothesize that the head gestures over a long duration have speaker-specific patterns. To establish this, we consider a classification problem to identify speakers from head gestures. We represent every head orientation as a triplet of Euler angles and a sequence of head orientations as head gestures.
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- Read more about Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations
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Generating accurate ground truth representations of human subjective experiences and judgements is essential for advancing our understanding of human-centered constructs such as emotions. Often, this requires the collection and fusion of annotations from several people where each one is subject to valuation disagreements, distraction artifacts, and other error sources.
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- Read more about Segmentation of Text-Lines and Words from JPEG Compressed Printed Text Documents Using DCT Coefficients
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Segmenting a document image into text-lines and words finds applications in many research areas of DIA(Document Image Analysis) such as OCR, Word Spotting, and document retrieval. However, carrying out segmentation operation directly in the compressed document images is still an unexplored and challenging research area. Since JPEG is most widely accepted compression algorithm, this research paper attempts to segment a JPEG compressed printed text document image into text-lines and words, without fully decompressing the image.
dccv.pdf

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- Read more about Multimodal active speaker detection and virtual cinematography for video conferencing
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Active speaker detection (ASD) and virtual cinematography (VC) can significantly improve the remote user experience of a video conference by automatically panning, tilting and zooming of a video conferencing camera: users subjectively rate an expert video cinematographer’s video significantly higher than unedited video. We describe a new automated ASD and VC that performs within 0.3 MOS of an expert cinematographer based on subjective ratings with a 1-5 scale.
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- Read more about A Fast Iterative Method for Removing Sparse Noise from Sparse Signals
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Reconstructing a signal corrupted by impulsive noise is of high importance in several applications, including impulsive noise removal from images, audios and videos, and separating texts from images. Investigating this problem, in this paper we propose a new method to reconstruct a noise-corrupted signal where both signal and noise are sparse but in different domains. We apply our algorithm for impulsive noise (Salt-and-Pepper Noise (SPN) and Random-Valued Impulsive Noise (RVIN) removal from images and compare our results with other notable algorithms in the literature.
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