Scan interleaving based scalable binary shape coding

Son, Sehoon; Jang, Euee S.; Lee, Shi Hwa; Cho, Dae-Sung; Shin, Jae-Seob; Seo, Yang-Seock

doi:10.1016/s0923-5965(99)00043-0

Cited by 1 publication

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is still worth noting that shape coding in nature is independent from the motion and texture coding process. Details of binary shape coding can be found in [2], [15], [17], [18], and [19]. Overall, binary shape coding includes the following tools: mode decision, MEMC, subsampling, scan order decision, inter/intra context-based arithmetic encoding (CAE), 3) and scalable shape.…”

Section: Binary Shape Codingmentioning

confidence: 99%

See 1 more Smart Citation

Low-Complexity MPEG-4 Shape Encoding towards Realtime Object-Based Applications

Jang¹

2004

ETRI J

View full text Add to dashboard Cite

Although frame‐based MPEG‐4 video services have been successfully deployed since 2000, MPEG‐4 video coding is now facing great competition in becoming a dominant player in the market. Object‐based coding is one of the key functionalities of MPEG‐4 video coding. Realtime object‐based video encoding is also important for multimedia broadcasting for the near future. Object‐based video services using MPEG‐4 have not yet made a successful debut due to several reasons. One of the critical problems is the coding complexity of object‐based video coding over frame‐based video coding. Since a video object is described with an arbitrary shape, the bitstream contains not only motion and texture data but also shape data. This has introduced additional complexity to the decoder side as well as to the encoder side. In this paper, we have analyzed the current MPEG‐4 video encoding tools and proposed efficient coding technologies that reduce the complexity of the encoder. Using the proposed coding schemes, we have obtained a 56 percent reduction in shape‐coding complexity over the MPEG‐4 video reference software (Microsoft version, 2000 edition).

show abstract

Section: Binary Shape Codingmentioning

confidence: 99%

“…Although this functionality is important for some applications, we have left this out of our discussion. More details can be found in [19]. Before closing the discussion on binary-shape coding, we have provided the binary-shape coding performance comparison in Table 3.…”

Section: F Scalable Shapementioning

confidence: 99%

Low-Complexity MPEG-4 Shape Encoding towards Realtime Object-Based Applications

Jang¹

2004

ETRI J

View full text Add to dashboard Cite

show abstract

Scan interleaving based scalable binary shape coding

Cited by 1 publication

References 3 publications

Low-Complexity MPEG-4 Shape Encoding towards Realtime Object-Based Applications

Low-Complexity MPEG-4 Shape Encoding towards Realtime Object-Based Applications

Contact Info

Product

Resources

About