Get A Unified Framework for Video Summarization, Browsing & PDF

By Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Yong Rui, Thomas S. Huang

ISBN-10: 0080481531

ISBN-13: 9780080481531

ISBN-10: 012369387X

ISBN-13: 9780123693877

Huge volumes of video content material can merely be simply accessed by way of swift looking and retrieval options. developing a video desk of contents (ToC) and video highlights to allow finish clients to sift via all this information and locate what they wish, once they wish are crucial. This reference places forth a unified framework to combine those services assisting effective shopping and retrieval of video content material. The authors have built a cohesive solution to create a video desk of contents, video highlights, and video indices that serve to streamline using purposes in patron and surveillance video purposes. The authors talk about the new release of desk of contents, extraction of highlights, varied ideas for audio and video marker acceptance, and indexing with low-level beneficial properties reminiscent of colour, texture, and form. present purposes together with this summarization and perusing expertise also are reviewed. functions similar to occasion detection in elevator surveillance, spotlight extraction from activities video, and photo and video database administration are thought of in the proposed framework. This ebook offers the most recent in learn and readers will locate their look for wisdom joyful through the breadth of the data coated during this quantity. * bargains the newest in innovative examine and functions in surveillance and buyer video* Presentation of a unique unified framework geared toward effectively sifting throughout the abundance of photos amassed day-by-day at procuring department shops, airports, and different advertisement amenities* Concisely written by means of best individuals within the sign processing with step by step guideline in construction video ToC and indices

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Extra resources for A Unified Framework for Video Summarization, Browsing & Retrieval: with Applications to Consumer and Surveillance Video

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The video sequence is first segmented into shots. Shots are then clustered by using time-constrained clustering. The STG is then constructed based on the time flow of the clusters. 4 Representation Based on Video Mosaics Instead of representing the video structure based on the video-scene-groupshot-frame hierarchy as discussed earlier, this approach takes a different perspective [33]. The mixed information within a shot is decomposed into three components: ● ● ● Extended spatial information. This captures the appearance of the entire background imaged in the shot and is represented in the form of a few mosaic images.

We concluded that the scene-level ToC has the advantage over other techniques. We then presented an effective scene-level ToC construction technique based on intelligent, unsupervised clustering. It has the characteristics of better modeling the time locality and scene structure. Experiments over real-world movie videos validate the effectiveness of the proposed approach. Examples are given to demonstrate the use of the scene-based ToC to facilitate the user’s access to the video. , [34]). We envision that an appropriate fusion of multiple features/modalities can result in a more semantically correct video ToC.

To achieve these goals, we organize the rest of the book as follows. Chapter 2 presents a hierarchical representation that includes key frames, shots, groups, and scenes for scripted video. Detailed algorithms are given on how to select key frames, how to cluster video frames into shots, and how to group shots into groups and scenes. Experimental results are also presented. Chapter 3 presents a hierarchical representation that includes play/ break, audio-visual markers, highlight candidates, and highlight groups for unscripted video.

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A Unified Framework for Video Summarization, Browsing & Retrieval: with Applications to Consumer and Surveillance Video by Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Yong Rui, Thomas S. Huang


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