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Multimedia semantic concept detection is an emerging research area in recent years. One of the prominent challenges in multimedia concept detection is data imbalance. In this study, a multimedia data mining framework for interesting concept detection in videos is presented. First, the Minimum Description Length (MDL) discretization algorithm is extended to handle the imbalanced data. Thereafter, a...
Video-based learning has gained popularity in higher education in recent years. Danmaku video is a kind of video where the screen is overlaid with user comments. In this study, the user comments consist of ideas and explanations about important concepts in the video, thus providing domain-specific knowledge and reducing the cognitive load for comprehension. This study tries to understand the effect...
Querying streaming data is becoming a dominant problem in big data analytics. A practical approach to querying streaming data is through traditional databases that have been modified to support streams, such as MySQL. However, conditional selection for querying data streams is currently an open challenge. We present a new visual framework that provides a more intuitive querying interaction for streaming...
Due to the diversity of body movements and uncertainty of recording occasion, human action recognition is still a challenging task, especially in real world. This paper provides a new method of representing the video with mid-level vision representation which is extracted from the discriminative supervoxels. In the proposed method, the discriminative supervoxels we extracted through a learning phase...
Nowadays, multimedia retrieval has become a task of high importance, due to the need for efficient and fast access to very large and heterogeneous multimedia collections. An interesting challenge within the aforementioned task is the efficient combination of different modalities in a multimedia object and especially the fusion between textual and visual information. The fusion of multiple modalities...
The fast growth of video data requires robust, efficient, and scalable systems to allow for indexing and retrieval. These systems must be accessible from lightweight, portable and usable interfaces to help users in management and search of video content. This demo paper presents LIvRE, an extension of an existing open source tool for image retrieval to support video indexing. LIvRE consists of three...
This paper presents an interactive multimedia search engine, which is capable of searching into multimedia collections by fusing textual and visual information. Apart from multimedia search, the engine is able to perform text search and image retrieval independently using both high-level and low-level information. The images of the multimedia collection are organized by color, offering fast browsing...
The huge amount of redundant multimedia data, like video, has become a problem in terms of both space and copyright. Usually, the methods for identifying near-duplicate videos are neither adequate nor scalable to find pairs of similar videos. Similarity self-join operation could be an alternative to solve this problem in which all similar pairs of elements from a video dataset are retrieved. Nonetheless,...
It is with the advancement of overwhelming wireless internet access in mobile environments, users and usage data has become huge and voluminous on regular basis. For instance, the financial transactions performed via online by users are unsecure and unauthenticated in many contexts. Methods and algorithms exist for secure data transmission over different channels, perhaps lacks to achieve high performance...
This paper demonstrates the framework for multi-object tracking using TLD background. We examine long-term tracking of object in a video stream. The object is characterized by its location and extent in the video frame. In every next frame, the aim is to calculate the location and extent of object or indicate that object is not present. There are different algorithms which perceive the object in real-time...
This live demonstration shows ultra-low bandwidth video streaming based on a scene-driven event-encoding imaging sensor. The approach exploits the inherent focal-plane redundancy suppression / video compression achieved by an array of autonomous, auto-sampling pixels. The data readout from the camera is optimized for transmission bandwidth using variable bit-length pixel address encoding and spatio-temporal...
This paper presents a low complexity human visual system based watermarking algorithm for H.264 spatial scalable coding. The proposed algorithm extracts textural feature from a set of 7 high energy quantized coefficients in 4 × 4 luma INTRA-predicted blocks of all-slices and embeds watermark into the highly textured block which has at least one non-zero coefficient in 6 selected locations. Experiments...
This paper presents a robust and efficient automatic visual surveillance system to detect presence of human being in restricted zones that are off limit i.e. military installations, secure depository, border areas etc. The system is based on multi-algorithms namely HAAR wavelet (HAAR), Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) and capable to tackle the following challenges:...
Fuelled by the advancements in multimedia technologies, users across the world have witnessed the proliferation of online videos. Compared with the visual content of videos, the textual content, for example, titles, tags, or descriptions, is more broadly exploited in the real-world video data mining or information retrieval tasks. To enhance the understanding of videos, and improve the performance...
Three-dimensional (3D) images and video have been around for decades in a variety of formats and supported by different technologies. In the recent past, these technologies have been given increasing attention from both academia and industry mainly due to advances in capture, coding, transmission and display technologies. 3D video has evolved from stereoscopic towards multi-view video plus depth,...
This demo paper presents the FELIX project approach of implementation the "High Quality Media Transmission over long-distance networks" use case. A virtual slice built on demand over European and Japan infrastructure allows to perform the experiments and shows capabilities of the test-bed and its availability for high quality media streaming experiments over a long distance federated network...
Virtual reality systems have been widely used in many popular and diverse applications including education and gaming. However, development of a dynamic virtual reality system which combines both audio and visual scenes has hitherto not been investigated. In this work a dynamic virtual reality system which synchronizes both audio and visual information is developed. Realtime audio and visual information...
We record, and analyze, and present to the community, KrishnaCam, a large (7.6 million frames, 70 hours) egocentric video stream along with GPS position, acceleration and body orientation data spanning nine months of the life of a computer vision graduate student. We explore and exploit the inherent redundancies in this rich visual data stream to answer simple scene understanding questions such as:...
In this community service oriented research the problems of traditional teaching learning process are identified in case of preparatory level schools in Ethiopia. The traditional teaching learning process in the schools of Ethiopia is based on chalk duster system which has severe limitations in context of students as well as instructors. This teaching learning process provides limited opportunity...
With the huge quantity of information streaming over the Internet, governments and privately owned businesses need to locate a possible approach to decline the dangerous messages and agendas. Challenges are increasing as digital property theft, breaking the copyright act, illegal reproduction of digitized information, communication for criminal activities etc. The Steganography is one of the major...
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