Inserting a Flash movie into a PowerPoint presentation

2007 ◽  
Vol 131 (2) ◽  
pp. 285-287 ◽  
Author(s):  
Saïd Elfarssi
Keyword(s):  
Flash Movie

What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine

2005 ◽  
pp. 123-133 ◽  
Author(s):  
Dawei Ding ◽  
Jun Yang ◽  
Qing Li ◽  
Wenyin Liu ◽  
Liping Wang
Keyword(s):  
Search Engine ◽  
Retrieval Model ◽  
Flash Movie

Developing Visual Tourism Recommender Systems

2010 ◽  
pp. 262-275
Author(s):  
Mohan Ponnada ◽  
Roopa Jakkilinki ◽  
Nalin Sharda
Keyword(s):  
Recommender Systems ◽  
Web Sites ◽  
Reference Model ◽  
User Interaction ◽  
Control Functions ◽  
Flash Movie ◽  
Travel Recommender Systems ◽  
Content Object ◽  
Object Reference

Tourism recommender systems (TRS) have become popular in recent years; however, most lack visual means of presenting the recommendations. This paper presents ways of developing visual travel recommender systems (V-TRS). The two popular travel recommender systems being used today are the Trip- Matcher™ and Me-Print™. Tour recommendation using image-based planning using SCORM (TRIPS) is a system that aims to make the presentation more visual. It uses SCORM and CORDRA standards. Sharable content object reference model (SCORM) is a standard that collates content from various Web sites, and content object repository discovery and registration/resolution architecture (CORDRA) aims to locate and reference SCORM repositories throughout the Internet. The information collected is stored in the form of an XML file. This XML file can be visualised by either converting it into a Flash movie or into a synchronized multimedia integration language (SMIL) presentation. A case study demonstrating the operation of current travel recommender systems also is presented. Further research in this area should aim to improve user interaction and provide more control functions within a V-TRS to make tour-planning simple, fun and more interactive.

scholarly journals ANALISA MEMBANDINGKAN HASIL KOMPRESI FILE MPEG-4 DAN FLV MENGGUNAKAN ALGORITMA HUFFMAN DAN LZ77

Saintek ITM ◽  
2019 ◽  
Vol 32 (1) ◽  
Author(s):  
Meri Sri Wahyuni
Keyword(s):  
Sliding Window ◽  
Huffman Coding ◽  
Flash Movie ◽  
Look Ahead

MPEG-4 dan FLV adalah contoh  format extension file video. MPEG-4 adalah suatu metode untuk melakukan kompresi video. Pada prinsipnya, sebuah gambar bergerak adalah sekumpulan frame yang mengalir dengan cepat, di mana setiap frame adalah gambar dengan kata lain, sebuah frame adalah kombinasi pixelpixel, dan sebuah video adalah kombinasi fisik dari frame-frame yang dikirim secara bergantian. FLV adalah video dengan format flash movie yang digunakan di internet. Algoritma Huffman menggunakan Huffman Coding ketika endcode data sebagai pola biner, biasanya menggunakan sejumlah bit yang tetap untuk setiap simbol. Algoritma kompresi LZ77 melakukan kompresinya dengan mengganti porsi data dengan suatu referensi untuk menyamakan data yang sudah dilewati oleh encoder dan decoder. Algoritma ini menggunakan suatu sliding window yang terdiri dari search buffer dan look-ahead buffer. Search buffer digunakan sebagai kamus, sedangkan look-ahead buffer merupakan buffer yang berisi string yang akan dikompresi.

Developing Visual Tourism Recommender Systems

2011 ◽  
pp. 162-179 ◽  
Author(s):  
Mohan Ponnada ◽  
Roopa Jakkilinki ◽  
Nalin Sharda
Keyword(s):  
Recommender Systems ◽  
Web Sites ◽  
Reference Model ◽  
User Interaction ◽  
Control Functions ◽  
Flash Movie ◽  
Travel Recommender Systems ◽  
Content Object ◽  
Object Reference

Tourism recommender systems (TRS) have become popular in recent years; however, most lack visual means of presenting the recommendations. This paper presents ways of developing visual travel recommender systems (V-TRS). The two popular travel recommender systems being used today are the TripMatcher™ and Me-Print™. Tour recommendation using image-based planning using SCORM (TRIPS) is a system that aims to make the presentation more visual. It uses SCORM and CORDRA standards. Sharable content object reference model (SCORM) is a standard that collates content from various Web sites, and content object repository discovery and registration/resolution architecture (CORDRA) aims to locate and reference SCORM repositories throughout the Internet. The information collected is stored in the form of an XML file. This XML file can be visualised by either converting it into a Flash movie or into a synchronized multimedia integration language (SMIL) presentation. A case study demonstrating the operation of current travel recommender systems also is presented. Further research in this area should aim to improve user interaction and provide more control functions within a V-TRS to make tour-planning simple, fun and more interactive.

Developing Visual Tourism Recommender Systems

2008 ◽  
pp. 938-950
Author(s):  
Mohan Ponnada ◽  
Roopa Jakkilinki ◽  
Nalin Sharda
Keyword(s):  
Recommender Systems ◽  
Web Sites ◽  
Reference Model ◽  
User Interaction ◽  
Control Functions ◽  
Flash Movie ◽  
Travel Recommender Systems ◽  
Content Object ◽  
Object Reference

Tourism recommender systems (TRS) have become popular in recent years; however, most lack visual means of presenting the recommendations. This paper presents ways of developing visual travel recommender systems (V-TRS). The two popular travel recommender systems being used today are the TripMatcher™ and Me-Print™. Tour recommendation using image-based planning using SCORM (TRIPS) is a system that aims to make the presentation more visual. It uses SCORM and CORDRA standards. Sharable content object reference model (SCORM) is a standard that collates content from various Web sites, and content object repository discovery and registration/resolution architecture (CORDRA) aims to locate and reference SCORM repositories throughout the Internet. The information collected is stored in the form of an XML file. This XML file can be visualised by either converting it into a Flash movie or into a synchronized multimedia integration language (SMIL) presentation. A case study demonstrating the operation of current travel recommender systems also is presented. Further research in this area should aim to improve user interaction and provide more control functions within a V-TRS to make tour-planning simple, fun and more interactive.

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