Department of Computer Science Engineering The Chinese University of Hong Kong LYUO102 XML for Interoperable Digital Video Library Supervised by prof LYU, Rung Tsong Michael。● Prepared by: Chan Pik Wah, Pat Ngai cheuk han. Table
Supervised by Prof. LYU, Rung Tsong Michael Department of Computer Science & Engineering The Chinese University of Hong Kong Prepared by: Chan Pik Wah, Pat Ngai Cheuk Han, Table LYU0102 XML for Interoperable Digital Video Library
●●● ●●●● ●●●●● ●●●● ●●●●● Outline ●●●● ● Introduction toⅩVP ● Review of Project ● EXtraction Techniques Face Detection e Speech Recognition Presentation XSL ●SM|L ● Transformation
Outline ⚫ Introduction to XVIP ⚫ Review of Project ⚫ Extraction Techniques ⚫ Face Detection ⚫ Speech Recognition ⚫ Presentation ⚫ XSL ⚫ SMIL ⚫ Transformation
●●● ●●●● ●●●●● ●●●● ●●●●● Motivations ●●●● · Rapid increase in the voe uso u en aces 1二 usage of multimedia Segmented Data information Digital Compression MPEG-I for video) New approach Processing MultimediaSegment DIGITAL VIDEO (Speech, Image 凵 with Derived Data Natural Language) Off-/ine Creation LIBRARY On-line Exploration Querying via Typing or Speech Mult imedia Segment with Derived Data Indexed Database BRowsing via Multimedia Abstractions and summaries P t Outfit
Motivations ⚫ Rapid increase in the usage of multimedia information ⚫ New approach: DIGITAL VIDEO LIBRARY Project Outline
●●● ●●●● ●●●●● ●●●● ●●●●● Motivations ●●●● ●●●● o Little attention paying on video information extraction and storage Scalability of the system in terms of adding new extraction components o Lack of a generic framework for presentation and visualization of video information Project Outline
Motivations ⚫ Little attention paying on video information extraction and storage ⚫ Scalability of the system in terms of adding new extraction components ⚫ Lack of a generic framework for presentation and visualization of video information Project Outline
●●● ●●●● ●●●●● ●●●● ●●●●● Overview of Xvie ●●●● ●●●● Formⅵideo By the Store as XML SMIIL developed tool Shot breat Scene Change Information DVOCR with XsL present in Face Detection Name different way Audio Speech Recognition→ Transcript y Peop上 Inft MOd Ⅵ isualization and Channel Information Information Presentation R In dexing and Project Outline
Overview of XVIP Project Outline
●●● ●●●● ●●●●● ●●●● Achievements in last semester 案①:輯但橡酰⑦說明田 Control Update View D日自?暴B州 Movie Control 厂 Extracted Information Control Control for Scene Change v Scene Chang F Position of the movie Control for VOCD Control for Playing Movie NDⅡ IMPUTE 華人民共和 南车日本三經度 三台灣 221114E中 is is the scene at Os 钕甸寮因 t-C VIDEO E-A TYPE #A YALUE 白 C FRAME cAmovue-Micromoft Vial C 感吸绕合%O国下午0157 P t Outlin
Achievements in last semester Project Outline
●●● ●●●● ●●●●● ●●●● Achievements in this semester 3: Control for Scene Change IMic On 其 Position of the movie Contrad for vOCD Cantral tor Paying Mavie Coatrol for Face Detecter ND川 稼度 国卖 is the scene at 0s FIles generate击 style Sheet 国tmn lnformation. P Cities PEople 广 Use Template 智 rescript.rt 2山的口垂口|mm △/的Q业。步上年且见 Project Outline
Achievements in this semester Project Outline
●●● ●●●● ●●●●● ●●●● ●●●●● Extraction Techniques ●●●● 圖國■國园 Scene Changes d△L Camera Motion rany statio static slate pan- zoom stave ns salle Face Detection Text Detection Word Relevance募 Audio level Extraction Techniques
Extraction Techniques Text Detection Camera Motion Face Detection Scene Changes Word Relevance Audio Level Extraction Techniques
●●● ●●●● ●●●●● ●●●● ●●●●● Face Detection ●●●● Object-presence detections are also an important technique Identify and index features to support image similarity matching. Face detection is a good example Extraction Techniques
Face Detection ⚫ Object-presence detections are also an important technique. ⚫ Identify and index features to support image similarity matching. Face detection is a good example Extraction Techniques
●●● ●●●● ●●●●● ●●●● ●●●●● Face Detection ●●●● o Name of people appearing in the video o How they are interacting with the environment o More searchable 毛目分桑之二睡米 Extraction Techniques
Face Detection ⚫ Name of people appearing in the video ⚫ How they are interacting with the environment ⚫ More searchable Extraction Techniques
